CRAN Package Check Results for Maintainer ‘Adela Hladka <hladka at cs.cas.cz>’

Last updated on 2025-11-21 12:50:23 CET.

Package	ERROR	OK
difNLR	2	11

Package difNLR

Current CRAN status: ERROR: 2, OK: 11

Version: 1.5.1-4
Check: tests
Result: ERROR Running ‘testthat.R’ [249s/330s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(difNLR) > > test_check("difNLR") Saving _problems/test-difNLR-14.R Saving _problems/test-difNLR-27.R Saving _problems/test-difNLR-30.R Saving _problems/test-difNLR-33.R Saving _problems/test-difNLR-67.R Saving _problems/test-difNLR-74.R Saving _problems/test-difNLR-82.R Saving _problems/test-difNLR-90.R Saving _problems/test-difNLR-98.R Saving _problems/test-difNLR-105.R Saving _problems/test-difNLR-112.R Saving _problems/test-difNLR-118.R Saving _problems/test-difNLR-125.R Saving _problems/test-difNLR-134.R Saving _problems/test-difNLR-142.R Saving _problems/test-difNLR-377.R $Item6H_6 Trying to recalculate starting values based on bootstrapped samples... The recalculation of starting values was successful. Saving _problems/test-difNLR-627.R $Item5 $Item5 $Item5 $Item5 Saving _problems/test-difORD-14.R Saving _problems/test-difORD-49.R Saving _problems/test-difORD-55.R Saving _problems/test-difORD-61.R Saving _problems/test-difORD-67.R Saving _problems/test-difORD-73.R [ FAIL 23 | WARN 1 | SKIP 16 | PASS 319 ] ══ Skipped tests (16) ══════════════════════════════════════════════════════════ • On CRAN (16): 'test-ddfMLR.R:1:1', 'test-ddfMLR.R:178:1', 'test-ddfMLR.R:209:1', 'test-difNLR.R:1:1', 'test-difNLR.R:306:1', 'test-difNLR.R:323:1', 'test-difNLR.R:534:1', 'test-difNLR.R:577:1', 'test-difORD.R:1:1', 'test-difORD.R:198:1', 'test-difORD.R:238:1', 'test-estimNLR.R:1:1', 'test-genNLR.R:1:1', 'test-genNLR.R:97:1', 'test-startNLR.R:1:1', 'test-startNLR.R:59:1' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-difNLR.R:14:3'): difNLR - examples at help page ────────────── Expected `fit1` to equal `fit1_expected`. Differences: actual$nlrPAR[[8]] | expected$nlrPAR[[8]] [1] 0.126421690 - 0.126421840 [1] [2] 0.821916864 - 0.821916793 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.188560897 - 0.188560839 [5] actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -0.534038569 - -0.534038548 [1] [2] 1.013003039 - 1.013003027 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.029234301 - 0.029234295 [5] actual$nlrSE[[8]] | expected$nlrSE[[8]] [1] 0.343040215 - 0.343040109 [1] [2] 0.169509293 - 0.169509153 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.131168793 - 0.131168755 [5] actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.211057550 - 0.211057621 [1] [2] 0.135836648 - 0.135836674 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.061792800 - 0.061792815 [5] `actual$parM0$Item2`: -0.03058685 1.06428058 0.15099716 `expected$parM0$Item2`: -0.03058735 1.06428087 0.15099733 `actual$parM0$Item8`: 0.126421690 0.821916864 0.188560897 `expected$parM0$Item8`: 0.126421840 0.821916793 0.188560839 `actual$parM0$Item18`: -0.534038569 1.013003039 0.029234301 `expected$parM0$Item18`: -0.534038548 1.013003027 0.029234295 `actual$seM0$Item2`: 0.227735222 0.159226517 0.078461058 `expected$seM0$Item2`: 0.227735124 0.159226423 0.078460978 `actual$seM0$Item8`: 0.343040215 0.169509293 0.131168793 `expected$seM0$Item8`: 0.343040109 0.169509153 0.131168755 `actual$seM0$Item18`: 0.211057550 0.135836648 0.061792800 `expected$seM0$Item18`: 0.211057621 0.135836674 0.061792815 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.05186333 -0.03021743 -0.017273062 + expected$covM0$Item2[1, ] 0.05186329 -0.03021739 -0.017273036 - actual$covM0$Item2[2, ] -0.03021743 0.02535308 0.010717985 + expected$covM0$Item2[2, ] -0.03021739 0.02535305 0.010717964 - actual$covM0$Item2[3, ] -0.01727306 0.01071799 0.006156138 + expected$covM0$Item2[3, ] -0.01727304 0.01071796 0.006156125 actual$covM0$Item8 vs expected$covM0$Item8 [,1] [,2] [,3] - actual$covM0$Item8[1, ] 0.11767659 -0.05143602 -0.04434402 + expected$covM0$Item8[1, ] 0.11767652 -0.05143595 -0.04434399 - actual$covM0$Item8[2, ] -0.05143602 0.02873340 0.02007202 + expected$covM0$Item8[2, ] -0.05143595 0.02873335 0.02007199 - actual$covM0$Item8[3, ] -0.04434402 0.02007202 0.01720525 + expected$covM0$Item8[3, ] -0.04434399 0.02007199 0.01720524 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] actual$covM0$Item12[1, ] 0.09424373 -0.04727163 -0.025621089 - actual$covM0$Item12[2, ] -0.04727163 0.03036815 0.013120782 + expected$covM0$Item12[2, ] -0.04727163 0.03036815 0.013120783 actual$covM0$Item12[3, ] -0.02562109 0.01312078 0.007285343 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] - actual$covM0$Item18[1, ] 0.04454529 -0.025026748 -0.012609287 + expected$covM0$Item18[1, ] 0.04454532 -0.025026763 -0.012609295 - actual$covM0$Item18[2, ] -0.02502675 0.018451595 0.007195376 + expected$covM0$Item18[2, ] -0.02502676 0.018451602 0.007195379 - actual$covM0$Item18[3, ] -0.01260929 0.007195376 0.003818350 + expected$covM0$Item18[3, ] -0.01260929 0.007195379 0.003818352 actual$parM1$Item16 | expected$parM1$Item16 [1] -0.508151611 - -0.508151559 [1] [2] 1.100651976 - 1.100651988 [2] [3] 0.029151096 - 0.029150994 [3] [4] -0.052590851 - -0.052590882 [4] [5] 0.073900244 - 0.073900243 [5] actual$seM1$Item4 | expected$seM1$Item4 [1] 0.897540624 - 0.897540525 [1] [2] 0.181507894 - 0.181507878 [2] [3] 0.137200404 - 0.137200380 [3] [4] 0.123750967 - 0.123750957 [4] [5] 0.683551339 - 0.683551268 [5] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.479733456 - 0.479733216 [1] [2] 0.176905109 - 0.176905028 [2] [3] 0.096186780 - 0.096186799 [3] [4] 0.110288350 - 0.110288371 [4] [5] 0.226535938 - 0.226535796 [5] actual$seM1$Item16 | expected$seM1$Item16 [1] 0.220720963 - 0.220720949 [1] [2] 0.168408323 - 0.168408322 [2] [3] 0.114789154 - 0.114789215 [3] [4] 0.154145713 - 0.154145671 [4] [5] 0.059226682 - 0.059226681 [5] actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item4[1, ] 0.80557917 -0.142048112 -0.048403540 -0.020625834 -0.61089172 + expected$covM1$Item4[1, ] 0.80557899 -0.142048080 -0.048403512 -0.020625812 -0.61089159 - actual$covM1$Item4[2, ] -0.14204811 0.032945116 0.004242145 -0.003338457 0.11118230 + expected$covM1$Item4[2, ] -0.14204808 0.032945110 0.004242140 -0.003338460 0.11118227 - actual$covM1$Item4[3, ] -0.04840354 0.004242145 0.018823951 0.009679530 0.03176359 + expected$covM1$Item4[3, ] -0.04840351 0.004242140 0.018823944 0.009679526 0.03176357 - actual$covM1$Item4[4, ] -0.02062583 -0.003338457 0.009679530 0.015314302 0.01323938 + expected$covM1$Item4[4, ] -0.02062581 -0.003338460 0.009679526 0.015314299 0.01323936 - actual$covM1$Item4[5, ] -0.61089172 0.111182295 0.031763587 0.013239378 0.46724243 + expected$covM1$Item4[5, ] -0.61089159 0.111182271 0.031763567 0.013239362 0.46724234 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item15[1, ] 0.23014419 -0.075673598 -0.0164225626 0.0142602206 -0.107645624 + expected$covM1$Item15[1, ] 0.23014396 -0.075673516 -0.0164225838 0.0142602480 -0.107645501 - actual$covM1$Item15[2, ] -0.07567360 0.031295417 0.0039230077 -0.0106777284 0.036138771 + expected$covM1$Item15[2, ] -0.07567352 0.031295389 0.0039230145 -0.0106777372 0.036138728 - actual$covM1$Item15[3, ] -0.01642256 0.003923008 0.0092518967 -0.0003337938 0.005756856 + expected$covM1$Item15[3, ] -0.01642258 0.003923014 0.0092519002 -0.0003337978 0.005756865 - actual$covM1$Item15[4, ] 0.01426022 -0.010677728 -0.0003337938 0.0121635202 -0.006860811 + expected$covM1$Item15[4, ] 0.01426025 -0.010677737 -0.0003337978 0.0121635248 -0.006860823 - actual$covM1$Item15[5, ] -0.10764562 0.036138771 0.0057568560 -0.0068608112 0.051318531 + expected$covM1$Item15[5, ] -0.10764550 0.036138728 0.0057568649 -0.0068608232 0.051318467 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item16[1, ] 0.048717744 -0.029002734 -0.0078734670 0.0048213840 -0.0121378318 + expected$covM1$Item16[1, ] 0.048717737 -0.029002731 -0.0078734692 0.0048213806 -0.0121378308 - actual$covM1$Item16[2, ] -0.029002734 0.028361363 0.0037418245 -0.0134059539 0.0075068703 + expected$covM1$Item16[2, ] -0.029002731 0.028361363 0.0037418255 -0.0134059510 0.0075068701 - actual$covM1$Item16[3, ] -0.007873467 0.003741824 0.0131765499 -0.0057301894 0.0003339497 + expected$covM1$Item16[3, ] -0.007873469 0.003741825 0.0131765640 -0.0057301861 0.0003339493 - actual$covM1$Item16[4, ] 0.004821384 -0.013405954 -0.0057301894 0.0237609010 -0.0005185267 + expected$covM1$Item16[4, ] 0.004821381 -0.013405951 -0.0057301861 0.0237608880 -0.0005185269 - actual$covM1$Item16[5, ] -0.012137832 0.007506870 0.0003339497 -0.0005185267 0.0035077998 + expected$covM1$Item16[5, ] -0.012137831 0.007506870 0.0003339493 -0.0005185269 0.0035077997 ── Failure ('test-difNLR.R:27:3'): difNLR - examples at help page ────────────── Expected `coef(fit1)` to equal `fit1_coef1_expected`. Differences: actual$Item8 vs expected$Item8 [,1] [,2] [,3] - actual$Item8[1, ] 0.8219169 -0.1538132 0.18856090 + expected$Item8[1, ] 0.8219168 -0.1538134 0.18856084 - actual$Item8[2, ] 0.4896848 -1.0273139 -0.06852521 + expected$Item8[2, ] 0.4896850 -1.0273139 -0.06852520 - actual$Item8[3, ] 1.1541490 0.7196874 0.44564701 + expected$Item8[3, ] 1.1541486 0.7196870 0.44564688 actual$Item18 vs expected$Item18 [,1] [,2] [,3] actual$Item18[1, ] 1.0130030 0.5271836 0.02923430 - actual$Item18[2, ] 0.7467681 0.2319369 -0.09187736 + expected$Item18[2, ] 0.7467680 0.2319368 -0.09187740 - actual$Item18[3, ] 1.2792380 0.8224302 0.15034596 + expected$Item18[3, ] 1.2792380 0.8224303 0.15034599 ── Failure ('test-difNLR.R:30:3'): difNLR - examples at help page ────────────── Expected `coef(fit1, SE = TRUE)` to equal `fit1_coef2_expected`. Differences: actual$Item8 vs expected$Item8 [,1] [,2] [,3] - actual$Item8[1, ] 0.8219169 -0.1538132 0.18856090 + expected$Item8[1, ] 0.8219168 -0.1538134 0.18856084 - actual$Item8[2, ] 0.1695093 0.4456718 0.13116879 + expected$Item8[2, ] 0.1695092 0.4456717 0.13116876 - actual$Item8[3, ] 0.4896848 -1.0273139 -0.06852521 + expected$Item8[3, ] 0.4896850 -1.0273139 -0.06852520 - actual$Item8[4, ] 1.1541490 0.7196874 0.44564701 + expected$Item8[4, ] 1.1541486 0.7196870 0.44564688 actual$Item18 vs expected$Item18 [,1] [,2] [,3] actual$Item18[1, ] 1.0130030 0.5271836 0.02923430 - actual$Item18[2, ] 0.1358366 0.1506388 0.06179280 + expected$Item18[2, ] 0.1358367 0.1506389 0.06179281 - actual$Item18[3, ] 0.7467681 0.2319369 -0.09187736 + expected$Item18[3, ] 0.7467680 0.2319368 -0.09187740 - actual$Item18[4, ] 1.2792380 0.8224302 0.15034596 + expected$Item18[4, ] 1.2792380 0.8224303 0.15034599 ── Failure ('test-difNLR.R:33:3'): difNLR - examples at help page ────────────── Expected `coef(fit1, SE = TRUE, simplify = TRUE)` to equal `fit1_coef3_expected`. Differences: actual vs expected a b c actual[26, ] 0.1809697 0.83289393 0.27959452 actual[27, ] 0.3651398 -2.40962136 -0.54799520 actual[28, ] 1.0745281 0.85526284 0.54799520 - actual[29, ] 0.8219169 -0.15381323 0.18856090 + expected[29, ] 0.8219168 -0.15381343 0.18856084 - actual[30, ] 0.1695093 0.44567177 0.13116879 + expected[30, ] 0.1695092 0.44567169 0.13116876 - actual[31, ] 0.4896848 -1.02731386 -0.06852521 + expected[31, ] 0.4896850 -1.02731389 -0.06852520 - actual[32, ] 1.1541490 0.71968739 0.44564701 + expected[32, ] 1.1541486 0.71968703 0.44564688 actual[33, ] 0.6387164 -0.38314116 0.05162489 actual[34, ] 0.1603240 0.81712635 0.22952065 actual[35, ] 0.3244872 -1.98467937 -0.39822733 actual vs expected a b c actual[44, ] 1.1520042 0.06037568 0.41152338 actual[45, ] 0.8977892 0.38216524 0.20920692 actual[46, ] 0.1742646 0.27856840 0.08535422 - actual[47, ] 0.5562369 -0.16381879 0.04191573 + expected[47, ] 0.5562369 -0.16381880 0.04191572 actual[48, ] 1.2393415 0.92814928 0.37649812 actual[49, ] 0.8157721 -0.77457288 0.29437966 actual[50, ] 0.1918456 0.69590763 0.18393642 actual vs expected a b c actual[66, ] 0.1669037 0.40461315 0.11558571 actual[67, ] 0.3576462 -0.03285713 -0.11700521 actual[68, ] 1.0118965 1.55319727 0.33608245 - actual[69, ] 1.0130030 0.52718358 0.02923430 + expected[69, ] 1.0130030 0.52718357 0.02923430 - actual[70, ] 0.1358366 0.15063882 0.06179280 + expected[70, ] 0.1358367 0.15063888 0.06179281 - actual[71, ] 0.7467681 0.23193692 -0.09187736 + expected[71, ] 0.7467680 0.23193679 -0.09187740 - actual[72, ] 1.2792380 0.82243024 0.15034596 + expected[72, ] 1.2792380 0.82243034 0.15034599 actual[73, ] 1.0724564 0.32683925 0.06295113 actual[74, ] 0.1856114 0.19769855 0.07991250 actual[75, ] 0.7086647 -0.06064279 -0.09367449 actual$a | expected$a [26] 0.180969726 | 0.180969726 [26] [27] 0.365139778 | 0.365139778 [27] [28] 1.074528068 | 1.074528068 [28] [29] 0.821916864 - 0.821916793 [29] [30] 0.169509293 - 0.169509153 [30] [31] 0.489684755 - 0.489684958 [31] [32] 1.154148973 - 1.154148629 [32] [33] 0.638716386 | 0.638716386 [33] [34] 0.160323968 | 0.160323968 [34] [35] 0.324487183 | 0.324487183 [35] actual$a | expected$a [43] 0.574045716 | 0.574045716 [43] [44] 1.152004161 | 1.152004161 [44] [45] 0.897789207 | 0.897789207 [45] [46] 0.174264594 - 0.174264595 [46] [47] 0.556236880 - 0.556236876 [47] [48] 1.239341534 - 1.239341538 [48] [49] 0.815772114 | 0.815772114 [49] [50] 0.191845634 | 0.191845634 [50] [51] 0.439761580 | 0.439761580 [51] actual$a | expected$a [66] 0.166903664 | 0.166903664 [66] [67] 0.357646196 | 0.357646196 [67] [68] 1.011896538 | 1.011896538 [68] [69] 1.013003039 - 1.013003027 [69] [70] 0.135836648 - 0.135836674 [70] [71] 0.746768101 - 0.746768039 [71] [72] 1.279237976 - 1.279238015 [72] [73] 1.072456380 | 1.072456380 [73] [74] 0.185611422 | 0.185611422 [74] [75] 0.708664678 | 0.708664678 [75] actual$b | expected$b [26] 0.832893927 | 0.832893927 [26] [27] -2.409621359 | -2.409621359 [27] [28] 0.855262841 | 0.855262841 [28] [29] -0.153813233 - -0.153813428 [29] [30] 0.445671773 - 0.445671689 [30] [31] -1.027313856 - -1.027313887 [31] [32] 0.719687391 - 0.719687031 [32] [33] -0.383141158 | -0.383141158 [33] [34] 0.817126345 | 0.817126345 [34] [35] -1.984679366 | -1.984679366 [35] actual$b | expected$b [43] -1.960728585 | -1.960728585 [43] [44] 0.060375684 | 0.060375684 [44] [45] 0.382165243 | 0.382165243 [45] [46] 0.278568401 - 0.278568404 [46] [47] -0.163818790 - -0.163818797 [47] [48] 0.928149276 - 0.928149283 [48] [49] -0.774572883 | -0.774572883 [49] [50] 0.695907633 | 0.695907633 [50] [51] -2.138526780 | -2.138526780 [51] actual$b | expected$b [66] 0.404613149 | 0.404613149 [66] [67] -0.032857125 | -0.032857125 [67] [68] 1.553197273 | 1.553197273 [68] [69] 0.527183580 - 0.527183565 [69] [70] 0.150638819 - 0.150638876 [70] [71] 0.231936920 - 0.231936795 [71] [72] 0.822430240 - 0.822430336 [72] [73] 0.326839252 | 0.326839252 [73] [74] 0.197698550 | 0.197698550 [74] [75] -0.060642785 | -0.060642785 [75] actual$c | expected$c [26] 0.279594525 | 0.279594525 [26] [27] -0.547995199 | -0.547995199 [27] [28] 0.547995199 | 0.547995199 [28] [29] 0.188560897 - 0.188560839 [29] [30] 0.131168793 - 0.131168755 [30] [31] -0.068525213 - -0.068525197 [31] [32] 0.445647007 - 0.445646875 [32] [33] 0.051624886 | 0.051624886 [33] [34] 0.229520652 | 0.229520652 [34] [35] -0.398227326 | -0.398227326 [35] actual$c | expected$c [43] -0.385549911 | -0.385549911 [43] [44] 0.411523383 | 0.411523383 [44] [45] 0.209206920 | 0.209206920 [45] [46] 0.085354219 - 0.085354220 [46] [47] 0.041915725 - 0.041915723 [47] [48] 0.376498115 - 0.376498117 [48] [49] 0.294379661 | 0.294379661 [49] [50] 0.183936421 | 0.183936421 [50] [51] -0.066129098 | -0.066129098 [51] actual$c | expected$c [66] 0.115585709 | 0.115585709 [66] [67] -0.117005207 | -0.117005207 [67] [68] 0.336082448 | 0.336082448 [68] [69] 0.029234301 - 0.029234295 [69] [70] 0.061792800 - 0.061792815 [70] [71] -0.091877362 - -0.091877396 [71] [72] 0.150345965 - 0.150345987 [72] [73] 0.062951126 | 0.062951126 [73] [74] 0.079912497 | 0.079912497 [74] [75] -0.093674490 | -0.093674490 [75] ── Failure ('test-difNLR.R:67:3'): difNLR - examples at help page ────────────── Expected `fit2` to equal `fit2_expected`. Differences: actual$Sval | expected$Sval [1] 41.91446590 | 41.91446590 [1] [2] 14.73970661 | 14.73970661 [2] [3] 0.69033084 | 0.69033084 [3] [4] 2.86221711 - 2.86221791 [4] [5] 1.08904070 | 1.08904070 [5] [6] 0.15466706 | 0.15466706 [6] [7] 5.68978837 | 5.68978837 [7] actual$Sval | expected$Sval [12] 1.01430708 | 1.01430708 [12] [13] 3.85490451 | 3.85490451 [13] [14] 1.41492671 | 1.41492671 [14] [15] 1.10837744 - 1.10837665 [15] [16] 0.13939499 - 0.13939486 [16] [17] 2.56488158 | 2.56488158 [17] [18] 1.94129713 | 1.94129713 [18] [19] 4.80670067 | 4.80670067 [19] actual$nlrPAR[[8]] | expected$nlrPAR[[8]] [1] 0.126421690 - 0.126421840 [1] [2] 0.821916864 - 0.821916793 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.188560897 - 0.188560839 [5] actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -0.534038569 - -0.534038548 [1] [2] 1.013003039 - 1.013003027 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.029234301 - 0.029234295 [5] actual$nlrSE[[8]] | expected$nlrSE[[8]] [1] 0.343040215 - 0.343040109 [1] [2] 0.169509293 - 0.169509153 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.131168793 - 0.131168755 [5] actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.211057550 - 0.211057621 [1] [2] 0.135836648 - 0.135836674 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.061792800 - 0.061792815 [5] `actual$parM0$Item2`: -0.03058685 1.06428058 0.15099716 `expected$parM0$Item2`: -0.03058735 1.06428087 0.15099733 `actual$parM0$Item8`: 0.126421690 0.821916864 0.188560897 `expected$parM0$Item8`: 0.126421840 0.821916793 0.188560839 `actual$parM0$Item18`: -0.534038569 1.013003039 0.029234301 `expected$parM0$Item18`: -0.534038548 1.013003027 0.029234295 `actual$seM0$Item2`: 0.227735222 0.159226517 0.078461058 `expected$seM0$Item2`: 0.227735124 0.159226423 0.078460978 `actual$seM0$Item8`: 0.343040215 0.169509293 0.131168793 `expected$seM0$Item8`: 0.343040109 0.169509153 0.131168755 `actual$seM0$Item18`: 0.211057550 0.135836648 0.061792800 `expected$seM0$Item18`: 0.211057621 0.135836674 0.061792815 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.05186333 -0.03021743 -0.017273062 + expected$covM0$Item2[1, ] 0.05186329 -0.03021739 -0.017273036 - actual$covM0$Item2[2, ] -0.03021743 0.02535308 0.010717985 + expected$covM0$Item2[2, ] -0.03021739 0.02535305 0.010717964 - actual$covM0$Item2[3, ] -0.01727306 0.01071799 0.006156138 + expected$covM0$Item2[3, ] -0.01727304 0.01071796 0.006156125 actual$covM0$Item8 vs expected$covM0$Item8 [,1] [,2] [,3] - actual$covM0$Item8[1, ] 0.11767659 -0.05143602 -0.04434402 + expected$covM0$Item8[1, ] 0.11767652 -0.05143595 -0.04434399 - actual$covM0$Item8[2, ] -0.05143602 0.02873340 0.02007202 + expected$covM0$Item8[2, ] -0.05143595 0.02873335 0.02007199 - actual$covM0$Item8[3, ] -0.04434402 0.02007202 0.01720525 + expected$covM0$Item8[3, ] -0.04434399 0.02007199 0.01720524 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] actual$covM0$Item12[1, ] 0.09424373 -0.04727163 -0.025621089 - actual$covM0$Item12[2, ] -0.04727163 0.03036815 0.013120782 + expected$covM0$Item12[2, ] -0.04727163 0.03036815 0.013120783 actual$covM0$Item12[3, ] -0.02562109 0.01312078 0.007285343 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] - actual$covM0$Item18[1, ] 0.04454529 -0.025026748 -0.012609287 + expected$covM0$Item18[1, ] 0.04454532 -0.025026763 -0.012609295 - actual$covM0$Item18[2, ] -0.02502675 0.018451595 0.007195376 + expected$covM0$Item18[2, ] -0.02502676 0.018451602 0.007195379 - actual$covM0$Item18[3, ] -0.01260929 0.007195376 0.003818350 + expected$covM0$Item18[3, ] -0.01260929 0.007195379 0.003818352 actual$parM1$Item16 | expected$parM1$Item16 [1] -0.508151611 - -0.508151559 [1] [2] 1.100651976 - 1.100651988 [2] [3] 0.029151096 - 0.029150994 [3] [4] -0.052590851 - -0.052590882 [4] [5] 0.073900244 - 0.073900243 [5] actual$seM1$Item4 | expected$seM1$Item4 [1] 0.897540624 - 0.897540525 [1] [2] 0.181507894 - 0.181507878 [2] [3] 0.137200404 - 0.137200380 [3] [4] 0.123750967 - 0.123750957 [4] [5] 0.683551339 - 0.683551268 [5] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.479733456 - 0.479733216 [1] [2] 0.176905109 - 0.176905028 [2] [3] 0.096186780 - 0.096186799 [3] [4] 0.110288350 - 0.110288371 [4] [5] 0.226535938 - 0.226535796 [5] actual$seM1$Item16 | expected$seM1$Item16 [1] 0.220720963 - 0.220720949 [1] [2] 0.168408323 - 0.168408322 [2] [3] 0.114789154 - 0.114789215 [3] [4] 0.154145713 - 0.154145671 [4] [5] 0.059226682 - 0.059226681 [5] actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item4[1, ] 0.80557917 -0.142048112 -0.048403540 -0.020625834 -0.61089172 + expected$covM1$Item4[1, ] 0.80557899 -0.142048080 -0.048403512 -0.020625812 -0.61089159 - actual$covM1$Item4[2, ] -0.14204811 0.032945116 0.004242145 -0.003338457 0.11118230 + expected$covM1$Item4[2, ] -0.14204808 0.032945110 0.004242140 -0.003338460 0.11118227 - actual$covM1$Item4[3, ] -0.04840354 0.004242145 0.018823951 0.009679530 0.03176359 + expected$covM1$Item4[3, ] -0.04840351 0.004242140 0.018823944 0.009679526 0.03176357 - actual$covM1$Item4[4, ] -0.02062583 -0.003338457 0.009679530 0.015314302 0.01323938 + expected$covM1$Item4[4, ] -0.02062581 -0.003338460 0.009679526 0.015314299 0.01323936 - actual$covM1$Item4[5, ] -0.61089172 0.111182295 0.031763587 0.013239378 0.46724243 + expected$covM1$Item4[5, ] -0.61089159 0.111182271 0.031763567 0.013239362 0.46724234 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item15[1, ] 0.23014419 -0.075673598 -0.0164225626 0.0142602206 -0.107645624 + expected$covM1$Item15[1, ] 0.23014396 -0.075673516 -0.0164225838 0.0142602480 -0.107645501 - actual$covM1$Item15[2, ] -0.07567360 0.031295417 0.0039230077 -0.0106777284 0.036138771 + expected$covM1$Item15[2, ] -0.07567352 0.031295389 0.0039230145 -0.0106777372 0.036138728 - actual$covM1$Item15[3, ] -0.01642256 0.003923008 0.0092518967 -0.0003337938 0.005756856 + expected$covM1$Item15[3, ] -0.01642258 0.003923014 0.0092519002 -0.0003337978 0.005756865 - actual$covM1$Item15[4, ] 0.01426022 -0.010677728 -0.0003337938 0.0121635202 -0.006860811 + expected$covM1$Item15[4, ] 0.01426025 -0.010677737 -0.0003337978 0.0121635248 -0.006860823 - actual$covM1$Item15[5, ] -0.10764562 0.036138771 0.0057568560 -0.0068608112 0.051318531 + expected$covM1$Item15[5, ] -0.10764550 0.036138728 0.0057568649 -0.0068608232 0.051318467 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item16[1, ] 0.048717744 -0.029002734 -0.0078734670 0.0048213840 -0.0121378318 + expected$covM1$Item16[1, ] 0.048717737 -0.029002731 -0.0078734692 0.0048213806 -0.0121378308 - actual$covM1$Item16[2, ] -0.029002734 0.028361363 0.0037418245 -0.0134059539 0.0075068703 + expected$covM1$Item16[2, ] -0.029002731 0.028361363 0.0037418255 -0.0134059510 0.0075068701 - actual$covM1$Item16[3, ] -0.007873467 0.003741824 0.0131765499 -0.0057301894 0.0003339497 + expected$covM1$Item16[3, ] -0.007873469 0.003741825 0.0131765640 -0.0057301861 0.0003339493 - actual$covM1$Item16[4, ] 0.004821384 -0.013405954 -0.0057301894 0.0237609010 -0.0005185267 + expected$covM1$Item16[4, ] 0.004821381 -0.013405951 -0.0057301861 0.0237608880 -0.0005185269 - actual$covM1$Item16[5, ] -0.012137832 0.007506870 0.0003339497 -0.0005185267 0.0035077998 + expected$covM1$Item16[5, ] -0.012137831 0.007506870 0.0003339493 -0.0005185269 0.0035077997 actual$pval | expected$pval [1] 0.000000001 | 0.000000001 [1] [2] 0.000629961 | 0.000629961 [2] [3] 0.708103210 | 0.708103210 [3] [4] 0.239043782 - 0.239043686 [4] [5] 0.580119972 | 0.580119972 [5] [6] 0.925581095 | 0.925581095 [6] [7] 0.058140418 | 0.058140418 [7] actual$pval | expected$pval [12] 0.602207300 | 0.602207300 [12] [13] 0.145518471 | 0.145518471 [13] [14] 0.492892908 | 0.492892908 [14] [15] 0.574538182 - 0.574538409 [15] [16] 0.932675918 - 0.932675979 [16] [17] 0.277359497 | 0.277359497 [17] [18] 0.378837258 | 0.378837258 [18] [19] 0.090414527 | 0.090414527 [19] actual$adj.pval | expected$adj.pval [1] 0.000000001 | 0.000000001 [1] [2] 0.000629961 | 0.000629961 [2] [3] 0.708103210 | 0.708103210 [3] [4] 0.239043782 - 0.239043686 [4] [5] 0.580119972 | 0.580119972 [5] [6] 0.925581095 | 0.925581095 [6] [7] 0.058140418 | 0.058140418 [7] actual$adj.pval | expected$adj.pval [12] 0.602207300 | 0.602207300 [12] [13] 0.145518471 | 0.145518471 [13] [14] 0.492892908 | 0.492892908 [14] [15] 0.574538182 - 0.574538409 [15] [16] 0.932675918 - 0.932675979 [16] [17] 0.277359497 | 0.277359497 [17] [18] 0.378837258 | 0.378837258 [18] [19] 0.090414527 | 0.090414527 [19] ── Failure ('test-difNLR.R:74:3'): difNLR - examples at help page ────────────── Expected `fit3` to equal `fit3_expected`. Differences: actual$nlrPAR[[8]] | expected$nlrPAR[[8]] [1] 0.126421690 - 0.126421840 [1] [2] 0.821916864 - 0.821916793 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.188560897 - 0.188560839 [5] actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -0.534038569 - -0.534038548 [1] [2] 1.013003039 - 1.013003027 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.029234301 - 0.029234295 [5] actual$nlrSE[[8]] | expected$nlrSE[[8]] [1] 0.343040215 - 0.343040109 [1] [2] 0.169509293 - 0.169509153 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.131168793 - 0.131168755 [5] actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.211057550 - 0.211057621 [1] [2] 0.135836648 - 0.135836674 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.061792800 - 0.061792815 [5] `actual$parM0$Item2`: -0.03058685 1.06428058 0.15099716 `expected$parM0$Item2`: -0.03058735 1.06428087 0.15099733 `actual$parM0$Item8`: 0.126421690 0.821916864 0.188560897 `expected$parM0$Item8`: 0.126421840 0.821916793 0.188560839 `actual$parM0$Item18`: -0.534038569 1.013003039 0.029234301 `expected$parM0$Item18`: -0.534038548 1.013003027 0.029234295 `actual$seM0$Item2`: 0.227735222 0.159226517 0.078461058 `expected$seM0$Item2`: 0.227735124 0.159226423 0.078460978 `actual$seM0$Item8`: 0.343040215 0.169509293 0.131168793 `expected$seM0$Item8`: 0.343040109 0.169509153 0.131168755 `actual$seM0$Item18`: 0.211057550 0.135836648 0.061792800 `expected$seM0$Item18`: 0.211057621 0.135836674 0.061792815 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.05186333 -0.03021743 -0.017273062 + expected$covM0$Item2[1, ] 0.05186329 -0.03021739 -0.017273036 - actual$covM0$Item2[2, ] -0.03021743 0.02535308 0.010717985 + expected$covM0$Item2[2, ] -0.03021739 0.02535305 0.010717964 - actual$covM0$Item2[3, ] -0.01727306 0.01071799 0.006156138 + expected$covM0$Item2[3, ] -0.01727304 0.01071796 0.006156125 actual$covM0$Item8 vs expected$covM0$Item8 [,1] [,2] [,3] - actual$covM0$Item8[1, ] 0.11767659 -0.05143602 -0.04434402 + expected$covM0$Item8[1, ] 0.11767652 -0.05143595 -0.04434399 - actual$covM0$Item8[2, ] -0.05143602 0.02873340 0.02007202 + expected$covM0$Item8[2, ] -0.05143595 0.02873335 0.02007199 - actual$covM0$Item8[3, ] -0.04434402 0.02007202 0.01720525 + expected$covM0$Item8[3, ] -0.04434399 0.02007199 0.01720524 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] actual$covM0$Item12[1, ] 0.09424373 -0.04727163 -0.025621089 - actual$covM0$Item12[2, ] -0.04727163 0.03036815 0.013120782 + expected$covM0$Item12[2, ] -0.04727163 0.03036815 0.013120783 actual$covM0$Item12[3, ] -0.02562109 0.01312078 0.007285343 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] - actual$covM0$Item18[1, ] 0.04454529 -0.025026748 -0.012609287 + expected$covM0$Item18[1, ] 0.04454532 -0.025026763 -0.012609295 - actual$covM0$Item18[2, ] -0.02502675 0.018451595 0.007195376 + expected$covM0$Item18[2, ] -0.02502676 0.018451602 0.007195379 - actual$covM0$Item18[3, ] -0.01260929 0.007195376 0.003818350 + expected$covM0$Item18[3, ] -0.01260929 0.007195379 0.003818352 actual$parM1$Item16 | expected$parM1$Item16 [1] -0.508151611 - -0.508151559 [1] [2] 1.100651976 - 1.100651988 [2] [3] 0.029151096 - 0.029150994 [3] [4] -0.052590851 - -0.052590882 [4] [5] 0.073900244 - 0.073900243 [5] actual$seM1$Item4 | expected$seM1$Item4 [1] 0.897540624 - 0.897540525 [1] [2] 0.181507894 - 0.181507878 [2] [3] 0.137200404 - 0.137200380 [3] [4] 0.123750967 - 0.123750957 [4] [5] 0.683551339 - 0.683551268 [5] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.479733456 - 0.479733216 [1] [2] 0.176905109 - 0.176905028 [2] [3] 0.096186780 - 0.096186799 [3] [4] 0.110288350 - 0.110288371 [4] [5] 0.226535938 - 0.226535796 [5] actual$seM1$Item16 | expected$seM1$Item16 [1] 0.220720963 - 0.220720949 [1] [2] 0.168408323 - 0.168408322 [2] [3] 0.114789154 - 0.114789215 [3] [4] 0.154145713 - 0.154145671 [4] [5] 0.059226682 - 0.059226681 [5] actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item4[1, ] 0.80557917 -0.142048112 -0.048403540 -0.020625834 -0.61089172 + expected$covM1$Item4[1, ] 0.80557899 -0.142048080 -0.048403512 -0.020625812 -0.61089159 - actual$covM1$Item4[2, ] -0.14204811 0.032945116 0.004242145 -0.003338457 0.11118230 + expected$covM1$Item4[2, ] -0.14204808 0.032945110 0.004242140 -0.003338460 0.11118227 - actual$covM1$Item4[3, ] -0.04840354 0.004242145 0.018823951 0.009679530 0.03176359 + expected$covM1$Item4[3, ] -0.04840351 0.004242140 0.018823944 0.009679526 0.03176357 - actual$covM1$Item4[4, ] -0.02062583 -0.003338457 0.009679530 0.015314302 0.01323938 + expected$covM1$Item4[4, ] -0.02062581 -0.003338460 0.009679526 0.015314299 0.01323936 - actual$covM1$Item4[5, ] -0.61089172 0.111182295 0.031763587 0.013239378 0.46724243 + expected$covM1$Item4[5, ] -0.61089159 0.111182271 0.031763567 0.013239362 0.46724234 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item15[1, ] 0.23014419 -0.075673598 -0.0164225626 0.0142602206 -0.107645624 + expected$covM1$Item15[1, ] 0.23014396 -0.075673516 -0.0164225838 0.0142602480 -0.107645501 - actual$covM1$Item15[2, ] -0.07567360 0.031295417 0.0039230077 -0.0106777284 0.036138771 + expected$covM1$Item15[2, ] -0.07567352 0.031295389 0.0039230145 -0.0106777372 0.036138728 - actual$covM1$Item15[3, ] -0.01642256 0.003923008 0.0092518967 -0.0003337938 0.005756856 + expected$covM1$Item15[3, ] -0.01642258 0.003923014 0.0092519002 -0.0003337978 0.005756865 - actual$covM1$Item15[4, ] 0.01426022 -0.010677728 -0.0003337938 0.0121635202 -0.006860811 + expected$covM1$Item15[4, ] 0.01426025 -0.010677737 -0.0003337978 0.0121635248 -0.006860823 - actual$covM1$Item15[5, ] -0.10764562 0.036138771 0.0057568560 -0.0068608112 0.051318531 + expected$covM1$Item15[5, ] -0.10764550 0.036138728 0.0057568649 -0.0068608232 0.051318467 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item16[1, ] 0.048717744 -0.029002734 -0.0078734670 0.0048213840 -0.0121378318 + expected$covM1$Item16[1, ] 0.048717737 -0.029002731 -0.0078734692 0.0048213806 -0.0121378308 - actual$covM1$Item16[2, ] -0.029002734 0.028361363 0.0037418245 -0.0134059539 0.0075068703 + expected$covM1$Item16[2, ] -0.029002731 0.028361363 0.0037418255 -0.0134059510 0.0075068701 - actual$covM1$Item16[3, ] -0.007873467 0.003741824 0.0131765499 -0.0057301894 0.0003339497 + expected$covM1$Item16[3, ] -0.007873469 0.003741825 0.0131765640 -0.0057301861 0.0003339493 - actual$covM1$Item16[4, ] 0.004821384 -0.013405954 -0.0057301894 0.0237609010 -0.0005185267 + expected$covM1$Item16[4, ] 0.004821381 -0.013405951 -0.0057301861 0.0237608880 -0.0005185269 - actual$covM1$Item16[5, ] -0.012137832 0.007506870 0.0003339497 -0.0005185267 0.0035077998 + expected$covM1$Item16[5, ] -0.012137831 0.007506870 0.0003339493 -0.0005185269 0.0035077997 ── Failure ('test-difNLR.R:82:3'): difNLR - examples at help page ────────────── Expected `fit4` to equal `fit4_expected`. Differences: actual$nlrPAR[[8]] | expected$nlrPAR[[8]] [1] 0.126421690 - 0.126421840 [1] [2] 0.821916864 - 0.821916793 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.188560897 - 0.188560839 [5] actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -0.534038569 - -0.534038548 [1] [2] 1.013003039 - 1.013003027 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.029234301 - 0.029234295 [5] actual$nlrSE[[8]] | expected$nlrSE[[8]] [1] 0.401197762 - 0.401197856 [1] [2] 0.178215930 - 0.178215952 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.149918697 - 0.149918758 [5] `actual$parM0$Item2`: -0.03058685 1.06428058 0.15099716 `expected$parM0$Item2`: -0.03058735 1.06428087 0.15099733 `actual$parM0$Item8`: 0.126421690 0.821916864 0.188560897 `expected$parM0$Item8`: 0.126421840 0.821916793 0.188560839 `actual$parM0$Item18`: -0.534038569 1.013003039 0.029234301 `expected$parM0$Item18`: -0.534038548 1.013003027 0.029234295 `actual$seM0$Item2`: 0.201224594 0.140058483 0.067742972 `expected$seM0$Item2`: 0.201224549 0.140058472 0.067742918 `actual$seM0$Item8`: 0.401197762 0.178215930 0.149918697 `expected$seM0$Item8`: 0.401197856 0.178215952 0.149918758 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.04049134 -0.022395787 -0.013017637 + expected$covM0$Item2[1, ] 0.04049132 -0.022395776 -0.013017623 - actual$covM0$Item2[2, ] -0.02239579 0.019616379 0.007736527 + expected$covM0$Item2[2, ] -0.02239578 0.019616376 0.007736518 - actual$covM0$Item2[3, ] -0.01301764 0.007736527 0.004589110 + expected$covM0$Item2[3, ] -0.01301762 0.007736518 0.004589103 actual$covM0$Item8 vs expected$covM0$Item8 [,1] [,2] [,3] - actual$covM0$Item8[1, ] 0.16095964 -0.06601989 -0.05950329 + expected$covM0$Item8[1, ] 0.16095972 -0.06601992 -0.05950333 - actual$covM0$Item8[2, ] -0.06601989 0.03176092 0.02478046 + expected$covM0$Item8[2, ] -0.06601992 0.03176093 0.02478048 - actual$covM0$Item8[3, ] -0.05950329 0.02478046 0.02247562 + expected$covM0$Item8[3, ] -0.05950333 0.02478048 0.02247563 actual$parM1$Item16 | expected$parM1$Item16 [1] -0.508151611 - -0.508151559 [1] [2] 1.100651976 - 1.100651988 [2] [3] 0.029151096 - 0.029150994 [3] [4] -0.052590851 - -0.052590882 [4] [5] 0.073900244 - 0.073900243 [5] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.433862773 - 0.433862784 [1] [2] 0.143168315 - 0.143168318 [2] [3] 0.096666823 | 0.096666823 [3] [4] 0.093469202 | 0.093469202 [4] [5] 0.199418936 - 0.199418941 [5] actual$seM1$Item16 | expected$seM1$Item16 [1] 0.210469737 - 0.210469732 [1] [2] 0.136469436 - 0.136469438 [2] [3] 0.120126749 - 0.120126750 [3] [4] 0.136762974 - 0.136762975 [4] [5] 0.053001686 - 0.053001689 [5] actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item4[1, ] 0.81404561 -0.143623881 -0.036790370 0.012083824 -0.61299622 + expected$covM1$Item4[1, ] 0.81404560 -0.143623886 -0.036790367 0.012083838 -0.61299621 - actual$covM1$Item4[2, ] -0.14362388 0.033532974 0.003260785 -0.010009923 0.11059981 + expected$covM1$Item4[2, ] -0.14362389 0.033532976 0.003260785 -0.010009925 0.11059981 - actual$covM1$Item4[3, ] -0.03679037 0.003260785 0.016150301 0.005334551 0.02288197 + expected$covM1$Item4[3, ] -0.03679037 0.003260785 0.016150301 0.005334550 0.02288197 - actual$covM1$Item4[4, ] 0.01208382 -0.010009923 0.005334551 0.016145291 -0.01091319 + expected$covM1$Item4[4, ] 0.01208384 -0.010009925 0.005334550 0.016145291 -0.01091320 - actual$covM1$Item4[5, ] -0.61299622 0.110599810 0.022881971 -0.010913190 0.46532535 + expected$covM1$Item4[5, ] -0.61299621 0.110599813 0.022881969 -0.010913201 0.46532534 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item15[1, ] 0.188236906 -0.054552810 -0.0142410655 0.0064748047 -0.085510546 + expected$covM1$Item15[1, ] 0.188236915 -0.054552813 -0.0142410660 0.0064748053 -0.085510550 - actual$covM1$Item15[2, ] -0.054552810 0.020497166 0.0028843201 -0.0062397888 0.025359905 + expected$covM1$Item15[2, ] -0.054552813 0.020497167 0.0028843203 -0.0062397890 0.025359906 - actual$covM1$Item15[3, ] -0.014241065 0.002884320 0.0093444747 -0.0003460474 0.004556433 + expected$covM1$Item15[3, ] -0.014241066 0.002884320 0.0093444747 -0.0003460475 0.004556434 - actual$covM1$Item15[4, ] 0.006474805 -0.006239789 -0.0003460474 0.0087364918 -0.003001133 + expected$covM1$Item15[4, ] 0.006474805 -0.006239789 -0.0003460475 0.0087364918 -0.003001133 - actual$covM1$Item15[5, ] -0.085510546 0.025359905 0.0045564334 -0.0030011328 0.039767912 + expected$covM1$Item15[5, ] -0.085510550 0.025359906 0.0045564337 -0.0030011331 0.039767914 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item16[1, ] 0.044297510 -0.021564264 -0.0064130492 -0.001938253 -0.0102238774 + expected$covM1$Item16[1, ] 0.044297508 -0.021564263 -0.0064130417 -0.001938256 -0.0102238778 - actual$covM1$Item16[2, ] -0.021564264 0.018623907 0.0017297361 -0.006306357 0.0053161670 + expected$covM1$Item16[2, ] -0.021564263 0.018623907 0.0017297317 -0.006306356 0.0053161675 - actual$covM1$Item16[3, ] -0.006413049 0.001729736 0.0144304358 -0.005175775 -0.0002274551 + expected$covM1$Item16[3, ] -0.006413042 0.001729732 0.0144304360 -0.005175775 -0.0002274572 - actual$covM1$Item16[4, ] -0.001938253 -0.006306357 -0.0051757745 0.018704111 0.0011715047 + expected$covM1$Item16[4, ] -0.001938256 -0.006306356 -0.0051757752 0.018704111 0.0011715055 - actual$covM1$Item16[5, ] -0.010223877 0.005316167 -0.0002274551 0.001171505 0.0028091787 + expected$covM1$Item16[5, ] -0.010223878 0.005316167 -0.0002274572 0.001171505 0.0028091791 ── Failure ('test-difNLR.R:90:3'): difNLR - examples at help page ────────────── Expected `fit5` to equal `fit5_expected`. Differences: actual$nlrPAR[[8]] | expected$nlrPAR[[8]] [1] 0.126421690 - 0.126421840 [1] [2] 0.821916864 - 0.821916793 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.188560897 - 0.188560839 [5] actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -0.534038569 - -0.534038548 [1] [2] 1.013003039 - 1.013003027 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.029234301 - 0.029234295 [5] actual$nlrSE[[8]] | expected$nlrSE[[8]] [1] 0.343040215 - 0.343040109 [1] [2] 0.169509293 - 0.169509153 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.131168793 - 0.131168755 [5] actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.211057550 - 0.211057621 [1] [2] 0.135836648 - 0.135836674 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.061792800 - 0.061792815 [5] `actual$parM0$Item2`: -0.03058685 1.06428058 0.15099716 `expected$parM0$Item2`: -0.03058735 1.06428087 0.15099733 `actual$parM0$Item8`: 0.126421690 0.821916864 0.188560897 `expected$parM0$Item8`: 0.126421840 0.821916793 0.188560839 `actual$parM0$Item18`: -0.534038569 1.013003039 0.029234301 `expected$parM0$Item18`: -0.534038548 1.013003027 0.029234295 `actual$seM0$Item2`: 0.227735222 0.159226517 0.078461058 `expected$seM0$Item2`: 0.227735124 0.159226423 0.078460978 `actual$seM0$Item8`: 0.343040215 0.169509293 0.131168793 `expected$seM0$Item8`: 0.343040109 0.169509153 0.131168755 `actual$seM0$Item18`: 0.211057550 0.135836648 0.061792800 `expected$seM0$Item18`: 0.211057621 0.135836674 0.061792815 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.05186333 -0.03021743 -0.017273062 + expected$covM0$Item2[1, ] 0.05186329 -0.03021739 -0.017273036 - actual$covM0$Item2[2, ] -0.03021743 0.02535308 0.010717985 + expected$covM0$Item2[2, ] -0.03021739 0.02535305 0.010717964 - actual$covM0$Item2[3, ] -0.01727306 0.01071799 0.006156138 + expected$covM0$Item2[3, ] -0.01727304 0.01071796 0.006156125 actual$covM0$Item8 vs expected$covM0$Item8 [,1] [,2] [,3] - actual$covM0$Item8[1, ] 0.11767659 -0.05143602 -0.04434402 + expected$covM0$Item8[1, ] 0.11767652 -0.05143595 -0.04434399 - actual$covM0$Item8[2, ] -0.05143602 0.02873340 0.02007202 + expected$covM0$Item8[2, ] -0.05143595 0.02873335 0.02007199 - actual$covM0$Item8[3, ] -0.04434402 0.02007202 0.01720525 + expected$covM0$Item8[3, ] -0.04434399 0.02007199 0.01720524 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] actual$covM0$Item12[1, ] 0.09424373 -0.04727163 -0.025621089 - actual$covM0$Item12[2, ] -0.04727163 0.03036815 0.013120782 + expected$covM0$Item12[2, ] -0.04727163 0.03036815 0.013120783 actual$covM0$Item12[3, ] -0.02562109 0.01312078 0.007285343 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] - actual$covM0$Item18[1, ] 0.04454529 -0.025026748 -0.012609287 + expected$covM0$Item18[1, ] 0.04454532 -0.025026763 -0.012609295 - actual$covM0$Item18[2, ] -0.02502675 0.018451595 0.007195376 + expected$covM0$Item18[2, ] -0.02502676 0.018451602 0.007195379 - actual$covM0$Item18[3, ] -0.01260929 0.007195376 0.003818350 + expected$covM0$Item18[3, ] -0.01260929 0.007195379 0.003818352 actual$parM1$Item16 | expected$parM1$Item16 [1] -0.508151611 - -0.508151559 [1] [2] 1.100651976 - 1.100651988 [2] [3] 0.029151096 - 0.029150994 [3] [4] -0.052590851 - -0.052590882 [4] [5] 0.073900244 - 0.073900243 [5] actual$seM1$Item4 | expected$seM1$Item4 [1] 0.897540624 - 0.897540525 [1] [2] 0.181507894 - 0.181507878 [2] [3] 0.137200404 - 0.137200380 [3] [4] 0.123750967 - 0.123750957 [4] [5] 0.683551339 - 0.683551268 [5] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.479733456 - 0.479733216 [1] [2] 0.176905109 - 0.176905028 [2] [3] 0.096186780 - 0.096186799 [3] [4] 0.110288350 - 0.110288371 [4] [5] 0.226535938 - 0.226535796 [5] actual$seM1$Item16 | expected$seM1$Item16 [1] 0.220720963 - 0.220720949 [1] [2] 0.168408323 - 0.168408322 [2] [3] 0.114789154 - 0.114789215 [3] [4] 0.154145713 - 0.154145671 [4] [5] 0.059226682 - 0.059226681 [5] actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item4[1, ] 0.80557917 -0.142048112 -0.048403540 -0.020625834 -0.61089172 + expected$covM1$Item4[1, ] 0.80557899 -0.142048080 -0.048403512 -0.020625812 -0.61089159 - actual$covM1$Item4[2, ] -0.14204811 0.032945116 0.004242145 -0.003338457 0.11118230 + expected$covM1$Item4[2, ] -0.14204808 0.032945110 0.004242140 -0.003338460 0.11118227 - actual$covM1$Item4[3, ] -0.04840354 0.004242145 0.018823951 0.009679530 0.03176359 + expected$covM1$Item4[3, ] -0.04840351 0.004242140 0.018823944 0.009679526 0.03176357 - actual$covM1$Item4[4, ] -0.02062583 -0.003338457 0.009679530 0.015314302 0.01323938 + expected$covM1$Item4[4, ] -0.02062581 -0.003338460 0.009679526 0.015314299 0.01323936 - actual$covM1$Item4[5, ] -0.61089172 0.111182295 0.031763587 0.013239378 0.46724243 + expected$covM1$Item4[5, ] -0.61089159 0.111182271 0.031763567 0.013239362 0.46724234 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item15[1, ] 0.23014419 -0.075673598 -0.0164225626 0.0142602206 -0.107645624 + expected$covM1$Item15[1, ] 0.23014396 -0.075673516 -0.0164225838 0.0142602480 -0.107645501 - actual$covM1$Item15[2, ] -0.07567360 0.031295417 0.0039230077 -0.0106777284 0.036138771 + expected$covM1$Item15[2, ] -0.07567352 0.031295389 0.0039230145 -0.0106777372 0.036138728 - actual$covM1$Item15[3, ] -0.01642256 0.003923008 0.0092518967 -0.0003337938 0.005756856 + expected$covM1$Item15[3, ] -0.01642258 0.003923014 0.0092519002 -0.0003337978 0.005756865 - actual$covM1$Item15[4, ] 0.01426022 -0.010677728 -0.0003337938 0.0121635202 -0.006860811 + expected$covM1$Item15[4, ] 0.01426025 -0.010677737 -0.0003337978 0.0121635248 -0.006860823 - actual$covM1$Item15[5, ] -0.10764562 0.036138771 0.0057568560 -0.0068608112 0.051318531 + expected$covM1$Item15[5, ] -0.10764550 0.036138728 0.0057568649 -0.0068608232 0.051318467 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item16[1, ] 0.048717744 -0.029002734 -0.0078734670 0.0048213840 -0.0121378318 + expected$covM1$Item16[1, ] 0.048717737 -0.029002731 -0.0078734692 0.0048213806 -0.0121378308 - actual$covM1$Item16[2, ] -0.029002734 0.028361363 0.0037418245 -0.0134059539 0.0075068703 + expected$covM1$Item16[2, ] -0.029002731 0.028361363 0.0037418255 -0.0134059510 0.0075068701 - actual$covM1$Item16[3, ] -0.007873467 0.003741824 0.0131765499 -0.0057301894 0.0003339497 + expected$covM1$Item16[3, ] -0.007873469 0.003741825 0.0131765640 -0.0057301861 0.0003339493 - actual$covM1$Item16[4, ] 0.004821384 -0.013405954 -0.0057301894 0.0237609010 -0.0005185267 + expected$covM1$Item16[4, ] 0.004821381 -0.013405951 -0.0057301861 0.0237608880 -0.0005185269 - actual$covM1$Item16[5, ] -0.012137832 0.007506870 0.0003339497 -0.0005185267 0.0035077998 + expected$covM1$Item16[5, ] -0.012137831 0.007506870 0.0003339493 -0.0005185269 0.0035077997 ── Failure ('test-difNLR.R:98:3'): difNLR - examples at help page ────────────── Expected `fit6` to equal `fit6_expected`. Differences: actual$nlrPAR[[2]] | expected$nlrPAR[[2]] [1] 0.177472710 - 0.177473254 [1] [2] 0.330349777 - 0.330349701 [2] [3] -0.450899418 - -0.450899245 [3] [4] 0.431260691 - 0.431260473 [4] [5] 0.150360097 - 0.150359863 [5] actual$nlrPAR[[13]] | expected$nlrPAR[[13]] [1] 0.517161361 - 0.517161486 [1] [2] 0.880409704 - 0.880409640 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.340100107 - 0.340100060 [5] actual$nlrSE[[2]] | expected$nlrSE[[2]] [1] 0.370317544 - 0.370317782 [1] [2] 0.096151384 - 0.096151362 [2] [3] 0.175279549 - 0.175279502 [3] [4] 0.199426775 - 0.199426759 [4] [5] 0.163932678 - 0.163932877 [5] actual$nlrSE[[13]] | expected$nlrSE[[13]] [1] 0.380400043 - 0.380400034 [1] [2] 0.196782418 - 0.196782426 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.142054522 - 0.142054552 [5] actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.211097181 - 0.211097192 [1] [2] 0.130432714 - 0.130432711 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.068716094 - 0.068716096 [5] `actual$parM0$Item13`: 0.517161361 0.880409704 0.340100107 `expected$parM0$Item13`: 0.517161486 0.880409640 0.340100060 `actual$seM0$Item13`: 0.380400043 0.196782418 0.142054522 `expected$seM0$Item13`: 0.380400034 0.196782426 0.142054552 `actual$seM0$Item18`: 0.211097181 0.130432714 0.068716094 `expected$seM0$Item18`: 0.211097192 0.130432711 0.068716096 actual$covM0$Item13 vs expected$covM0$Item13 [,1] [,2] [,3] - actual$covM0$Item13[1, ] 0.14470419 -0.06411145 -0.05308457 + expected$covM0$Item13[1, ] 0.14470419 -0.06411146 -0.05308458 - actual$covM0$Item13[2, ] -0.06411145 0.03872332 0.02506125 + expected$covM0$Item13[2, ] -0.06411146 0.03872332 0.02506126 - actual$covM0$Item13[3, ] -0.05308457 0.02506125 0.02017949 + expected$covM0$Item13[3, ] -0.05308458 0.02506126 0.02017950 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] - actual$covM0$Item18[1, ] 0.04456202 -0.024053316 -0.014090872 + expected$covM0$Item18[1, ] 0.04456202 -0.024053317 -0.014090873 - actual$covM0$Item18[2, ] -0.02405332 0.017012693 0.007756721 + expected$covM0$Item18[2, ] -0.02405332 0.017012692 0.007756721 actual$covM0$Item18[3, ] -0.01409087 0.007756721 0.004721902 actual$parM1$Item2 | expected$parM1$Item2 [1] 0.177472710 - 0.177473254 [1] [2] 0.330349777 - 0.330349701 [2] [3] -0.450899418 - -0.450899245 [3] [4] 0.431260691 - 0.431260473 [4] [5] 0.150360097 - 0.150359863 [5] actual$parM1$Item14 | expected$parM1$Item14 [1] -0.424718732 - -0.424718652 [1] [2] 0.930618591 - 0.930618543 [2] [3] 0.045223607 - 0.045223635 [3] [4] -0.080158239 - -0.080158236 [4] [5] 0.048109543 - 0.048109514 [5] actual$parM1$Item19 | expected$parM1$Item19 [1] -0.138452239 - -0.138453420 [1] [2] 0.991225098 - 0.991225705 [2] [3] 0.064397463 - 0.064397656 [3] [4] -0.209346522 - -0.209346606 [4] [5] 0.008790044 - 0.008790492 [5] actual$parM1$Item20 | expected$parM1$Item20 [1] -0.976893375 - -0.976893389 [1] [2] 1.117935443 - 1.117935456 [2] [3] -0.419267085 - -0.419267083 [3] [4] 0.218094706 - 0.218094691 [4] [5] 0.175380839 - 0.175380840 [5] actual$seM1$Item2 | expected$seM1$Item2 [1] 0.370317544 - 0.370317782 [1] [2] 0.096151384 - 0.096151362 [2] [3] 0.175279549 - 0.175279502 [3] [4] 0.199426775 - 0.199426759 [4] [5] 0.163932678 - 0.163932877 [5] actual$seM1$Item14 | expected$seM1$Item14 [1] 0.260152167 - 0.260152196 [1] [2] 0.167126026 - 0.167126056 [2] [3] 0.106400891 - 0.106400876 [3] [4] 0.136296588 - 0.136296582 [4] [5] 0.080290594 - 0.080290613 [5] actual$seM1$Item19 | expected$seM1$Item19 [1] 0.248830906 - 0.248831216 [1] [2] 0.169914986 - 0.169915245 [2] [3] 0.098203305 - 0.098203377 [3] [4] 0.134438082 - 0.134438188 [4] [5] 0.094481052 - 0.094481002 [5] actual$seM1$Item20 | expected$seM1$Item20 [1] 0.232092240 - 0.232092242 [1] [2] 0.184527261 - 0.184527265 [2] [3] 0.198007123 - 0.198007134 [3] [4] 0.219756190 - 0.219756197 [4] [5] 0.038219442 | 0.038219442 [5] actual$covM1$Item2 vs expected$covM1$Item2 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item2[1, ] 0.13713508 -0.020291521 0.043707157 -0.056503115 -0.059469850 + expected$covM1$Item2[1, ] 0.13713526 -0.020291533 0.043707184 -0.056503164 -0.059469963 - actual$covM1$Item2[2, ] -0.02029152 0.009245089 -0.008364506 0.002923690 0.009423516 + expected$covM1$Item2[2, ] -0.02029153 0.009245084 -0.008364505 0.002923694 0.009423526 - actual$covM1$Item2[3, ] 0.04370716 -0.008364506 0.030722920 -0.021992221 -0.022251231 + expected$covM1$Item2[3, ] 0.04370718 -0.008364505 0.030722904 -0.021992215 -0.022251254 - actual$covM1$Item2[4, ] -0.05650312 0.002923690 -0.021992221 0.039771038 0.025279332 + expected$covM1$Item2[4, ] -0.05650316 0.002923694 -0.021992215 0.039771032 0.025279367 - actual$covM1$Item2[5, ] -0.05946985 0.009423516 -0.022251231 0.025279332 0.026873923 + expected$covM1$Item2[5, ] -0.05946996 0.009423526 -0.022251254 0.025279367 0.026873988 actual$covM1$Item14 vs expected$covM1$Item14 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item14[1, ] 0.067679150 -0.035427232 -0.0088074015 0.007413740 -0.0199846925 + expected$covM1$Item14[1, ] 0.067679165 -0.035427246 -0.0088073978 0.007413743 -0.0199846997 - actual$covM1$Item14[2, ] -0.035427232 0.027931109 0.0033840722 -0.012683715 0.0108774193 + expected$covM1$Item14[2, ] -0.035427246 0.027931119 0.0033840700 -0.012683717 0.0108774251 - actual$covM1$Item14[3, ] -0.008807401 0.003384072 0.0113211496 -0.003782322 0.0009940872 + expected$covM1$Item14[3, ] -0.008807398 0.003384070 0.0113211464 -0.003782317 0.0009940865 - actual$covM1$Item14[4, ] 0.007413740 -0.012683715 -0.0037823216 0.018576760 -0.0018409430 + expected$covM1$Item14[4, ] 0.007413743 -0.012683717 -0.0037823172 0.018576758 -0.0018409446 - actual$covM1$Item14[5, ] -0.019984693 0.010877419 0.0009940872 -0.001840943 0.0064465795 + expected$covM1$Item14[5, ] -0.019984700 0.010877425 0.0009940865 -0.001840945 0.0064465825 actual$covM1$Item19 vs expected$covM1$Item19 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item19[1, ] 0.061916820 -0.033995629 -0.009297763 0.011445863 -0.022559511 + expected$covM1$Item19[1, ] 0.061916974 -0.033995739 -0.009297808 0.011445886 -0.022559528 - actual$covM1$Item19[2, ] -0.033995629 0.028871102 0.003012574 -0.015593392 0.013283449 + expected$covM1$Item19[2, ] -0.033995739 0.028871191 0.003012605 -0.015593422 0.013283466 - actual$covM1$Item19[3, ] -0.009297763 0.003012574 0.009643889 -0.001762179 0.001738452 + expected$covM1$Item19[3, ] -0.009297808 0.003012605 0.009643903 -0.001762197 0.001738464 - actual$covM1$Item19[4, ] 0.011445863 -0.015593392 -0.001762179 0.018073598 -0.004360636 + expected$covM1$Item19[4, ] 0.011445886 -0.015593422 -0.001762197 0.018073626 -0.004360635 - actual$covM1$Item19[5, ] -0.022559511 0.013283449 0.001738452 -0.004360636 0.008926669 + expected$covM1$Item19[5, ] -0.022559528 0.013283466 0.001738464 -0.004360635 0.008926660 actual$covM1$Item20 vs expected$covM1$Item20 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item20[1, ] 0.0538668081 -0.0330202700 0.0001421080 -0.0001651629 -0.007745173 + expected$covM1$Item20[1, ] 0.0538668090 -0.0330202716 0.0001421085 -0.0001651634 -0.007745174 - actual$covM1$Item20[2, ] -0.0330202700 0.0340503099 0.0004877110 -0.0140608872 0.004665347 + expected$covM1$Item20[2, ] -0.0330202716 0.0340503117 0.0004877116 -0.0140608873 0.004665347 - actual$covM1$Item20[3, ] 0.0001421080 0.0004877110 0.0392068206 -0.0286260615 -0.002440810 + expected$covM1$Item20[3, ] 0.0001421085 0.0004877116 0.0392068249 -0.0286260662 -0.002440811 - actual$covM1$Item20[4, ] -0.0001651629 -0.0140608872 -0.0286260615 0.0482927830 0.001593366 + expected$covM1$Item20[4, ] -0.0001651634 -0.0140608873 -0.0286260662 0.0482927862 0.001593366 - actual$covM1$Item20[5, ] -0.0077451735 0.0046653466 -0.0024408104 0.0015933660 0.001460726 + expected$covM1$Item20[5, ] -0.0077451736 0.0046653468 -0.0024408107 0.0015933663 0.001460726 ── Failure ('test-difNLR.R:105:3'): difNLR - examples at help page ───────────── Expected `fit7` to equal `fit7_expected`. Differences: actual$nlrPAR[[6]] | expected$nlrPAR[[6]] [1] -2.860756754 - -2.860756501 [1] [2] 0.294079146 - 0.294079133 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.061526225 - 0.061526174 [5] actual$nlrPAR[[7]] | expected$nlrPAR[[7]] [1] -2.129766181 - -2.129766291 [1] [2] 0.231768177 - 0.231768187 [2] [3] 0.491042687 - 0.491042882 [3] [4] -0.020552482 - -0.020552499 [4] [5] 0.000000000 | 0.000000000 [5] actual$nlrPAR[[14]] | expected$nlrPAR[[14]] [1] -3.761189285 - -3.761189457 [1] [2] 0.283317057 - 0.283317067 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.071987400 - 0.071987417 [5] actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -4.318486592 - -4.318486900 [1] [2] 0.326161178 - 0.326161197 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.029234264 - 0.029234292 [5] actual$nlrSE[[6]] | expected$nlrSE[[6]] [1] 0.800032077 - 0.800031842 [1] [2] 0.047732091 - 0.047732076 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.147258537 - 0.147258520 [5] actual$nlrSE[[7]] | expected$nlrSE[[7]] [1] 1.112354923 - 1.112354869 [1] [2] 0.058267614 - 0.058267613 [2] [3] 0.456091925 | 0.456091925 [3] [4] 0.039381406 - 0.039381404 [4] [5] 0.279594382 - 0.279594362 [5] actual$nlrSE[[14]] | expected$nlrSE[[14]] [1] 0.793606682 - 0.793606758 [1] [2] 0.047284327 - 0.047284332 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.079848859 - 0.079848857 [5] actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.699329966 - 0.699330191 [1] [2] 0.043735932 - 0.043735945 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.061792805 - 0.061792814 [5] `actual$parM0$Item6`: -2.860756754 0.294079146 0.061526225 `expected$parM0$Item6`: -2.860756501 0.294079133 0.061526174 `actual$parM0$Item14`: -3.761189285 0.283317057 0.071987400 `expected$parM0$Item14`: -3.761189457 0.283317067 0.071987417 `actual$parM0$Item18`: -4.318486592 0.326161178 0.029234264 `expected$parM0$Item18`: -4.318486900 0.326161197 0.029234292 `actual$seM0$Item6`: 0.800032077 0.047732091 0.147258537 `expected$seM0$Item6`: 0.800031842 0.047732076 0.147258520 `actual$seM0$Item14`: 0.793606682 0.047284327 0.079848859 `expected$seM0$Item14`: 0.793606758 0.047284332 0.079848857 `actual$seM0$Item18`: 0.699329966 0.043735932 0.061792805 `expected$seM0$Item18`: 0.699330191 0.043735945 0.061792814 actual$covM0$Item6 vs expected$covM0$Item6 [,1] [,2] [,3] - actual$covM0$Item6[1, ] 0.64005132 -0.037549103 -0.112527497 + expected$covM0$Item6[1, ] 0.64005095 -0.037549080 -0.112527448 - actual$covM0$Item6[2, ] -0.03754910 0.002278352 0.006281254 + expected$covM0$Item6[2, ] -0.03754908 0.002278351 0.006281251 - actual$covM0$Item6[3, ] -0.11252750 0.006281254 0.021685077 + expected$covM0$Item6[3, ] -0.11252745 0.006281251 0.021685072 actual$covM0$Item14 vs expected$covM0$Item14 [,1] [,2] [,3] - actual$covM0$Item14[1, ] 0.62981157 -0.037094873 -0.059352624 + expected$covM0$Item14[1, ] 0.62981169 -0.037094881 -0.059352628 - actual$covM0$Item14[2, ] -0.03709487 0.002235808 0.003335018 + expected$covM0$Item14[2, ] -0.03709488 0.002235808 0.003335019 - actual$covM0$Item14[3, ] -0.05935262 0.003335018 0.006375840 + expected$covM0$Item14[3, ] -0.05935263 0.003335019 0.006375840 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] - actual$covM0$Item18[1, ] 0.48906240 -0.030252560 -0.039490274 + expected$covM0$Item18[1, ] 0.48906272 -0.030252579 -0.039490295 - actual$covM0$Item18[2, ] -0.03025256 0.001912832 0.002316727 + expected$covM0$Item18[2, ] -0.03025258 0.001912833 0.002316728 - actual$covM0$Item18[3, ] -0.03949027 0.002316727 0.003818351 + expected$covM0$Item18[3, ] -0.03949029 0.002316728 0.003818352 actual$parM1$Item6 | expected$parM1$Item6 [1] -2.765638706 - -2.765638638 [1] [2] 0.287085848 - 0.287085835 [2] [3] -0.161355944 - -0.161356361 [3] [4] 0.012414614 - 0.012414657 [4] [5] 0.058681823 - 0.058681846 [5] actual$parM1$Item7 | expected$parM1$Item7 [1] -2.129766181 - -2.129766291 [1] [2] 0.231768177 - 0.231768187 [2] [3] 0.491042687 - 0.491042882 [3] [4] -0.020552482 - -0.020552499 [4] [5] 0.000000000 | 0.000000000 [5] actual$parM1$Item9 | expected$parM1$Item9 [1] -2.290274718 - -2.290273162 [1] [2] 0.217155694 - 0.217155620 [2] [3] 0.277064738 - 0.277064638 [3] [4] -0.021873580 - -0.021873572 [4] [5] 0.053448573 - 0.053448232 [5] actual$parM1$Item13 | expected$parM1$Item13 [1] -1.695664217 - -1.695663657 [1] [2] 0.205923033 - 0.205923013 [2] [3] -0.760493891 - -0.760493588 [3] [4] 0.085496308 - 0.085496279 [4] [5] 0.218226211 - 0.218226052 [5] actual$parM1$Item18 | expected$parM1$Item18 [1] -4.597410312 - -4.597409267 [1] [2] 0.341940607 - 0.341940538 [2] [3] 0.426500848 - 0.426500064 [3] [4] -0.023314095 - -0.023314034 [4] [5] 0.033834987 - 0.033834929 [5] actual$seM1$Item6 | expected$seM1$Item6 [1] 0.812904466 - 0.812904715 [1] [2] 0.050646083 - 0.050646097 [2] [3] 0.473809295 - 0.473809386 [3] [4] 0.042832466 - 0.042832471 [4] [5] 0.148477253 - 0.148477291 [5] actual$seM1$Item7 | expected$seM1$Item7 [1] 1.112354923 - 1.112354869 [1] [2] 0.058267614 - 0.058267613 [2] [3] 0.456091925 | 0.456091925 [3] [4] 0.039381406 - 0.039381404 [4] [5] 0.279594382 - 0.279594362 [5] actual$seM1$Item9 | expected$seM1$Item9 [1] 1.106076330 - 1.106075897 [1] [2] 0.058189935 - 0.058189893 [2] [3] 0.438636888 - 0.438636645 [3] [4] 0.037649369 - 0.037649352 [4] [5] 0.225906353 - 0.225906565 [5] actual$seM1$Item13 | expected$seM1$Item13 [1] 1.022513375 - 1.022513431 [1] [2] 0.052074429 - 0.052074427 [2] [3] 0.545490371 - 0.545490169 [3] [4] 0.051390956 - 0.051390938 [4] [5] 0.235235576 - 0.235235702 [5] actual$seM1$Item18 | expected$seM1$Item18 [1] 0.806157612 - 0.806157708 [1] [2] 0.052593311 - 0.052593315 [2] [3] 0.586538776 - 0.586538612 [3] [4] 0.046215383 - 0.046215370 [4] [5] 0.059982953 - 0.059982978 [5] actual$covM1$Item6 vs expected$covM1$Item6 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item6[1, ] 0.660813670 -0.0400030143 -0.077742030 0.0071382098 -0.1103238235 + expected$covM1$Item6[1, ] 0.660814076 -0.0400030387 -0.077741933 0.0071382021 -0.1103238931 - actual$covM1$Item6[2, ] -0.040003014 0.0025650257 0.007898242 -0.0007554418 0.0060745901 + expected$covM1$Item6[2, ] -0.040003039 0.0025650272 0.007898237 -0.0007554414 0.0060745944 - actual$covM1$Item6[3, ] -0.077742030 0.0078982417 0.224495248 -0.0198123436 -0.0061886573 + expected$covM1$Item6[3, ] -0.077741933 0.0078982366 0.224495334 -0.0198123498 -0.0061886780 - actual$covM1$Item6[4, ] 0.007138210 -0.0007554418 -0.019812344 0.0018346201 0.0004926302 + expected$covM1$Item6[4, ] 0.007138202 -0.0007554414 -0.019812350 0.0018346206 0.0004926318 - actual$covM1$Item6[5, ] -0.110323824 0.0060745901 -0.006188657 0.0004926302 0.0220454945 + expected$covM1$Item6[5, ] -0.110323893 0.0060745944 -0.006188678 0.0004926318 0.0220455059 actual$covM1$Item7 vs expected$covM1$Item7 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item7[1, ] 1.23733347 -0.063366068 -0.31469687 0.022910429 -0.300610340 + expected$covM1$Item7[1, ] 1.23733335 -0.063366063 -0.31469690 0.022910432 -0.300610303 - actual$covM1$Item7[2, ] -0.06336607 0.003395115 0.01846587 -0.001426337 0.014629230 + expected$covM1$Item7[2, ] -0.06336606 0.003395115 0.01846587 -0.001426338 0.014629229 - actual$covM1$Item7[3, ] -0.31469687 0.018465870 0.20801984 -0.017413287 0.060680842 + expected$covM1$Item7[3, ] -0.31469690 0.018465872 0.20801984 -0.017413286 0.060680849 - actual$covM1$Item7[4, ] 0.02291043 -0.001426337 -0.01741329 0.001550895 -0.004108836 + expected$covM1$Item7[4, ] 0.02291043 -0.001426338 -0.01741329 0.001550895 -0.004108837 - actual$covM1$Item7[5, ] -0.30061034 0.014629230 0.06068084 -0.004108836 0.078173019 + expected$covM1$Item7[5, ] -0.30061030 0.014629229 0.06068085 -0.004108837 0.078173007 actual$covM1$Item9 vs expected$covM1$Item9 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item9[1, ] 1.22340485 -0.062963747 -0.19961493 0.016058281 -0.239970298 + expected$covM1$Item9[1, ] 1.22340389 -0.062963675 -0.19961479 0.016058269 -0.239970432 - actual$covM1$Item9[2, ] -0.06296375 0.003386069 0.01307774 -0.001100515 0.011692984 + expected$covM1$Item9[2, ] -0.06296367 0.003386064 0.01307773 -0.001100514 0.011692985 - actual$covM1$Item9[3, ] -0.19961493 0.013077745 0.19240232 -0.016085562 0.022244323 + expected$covM1$Item9[3, ] -0.19961479 0.013077732 0.19240211 -0.016085545 0.022244344 - actual$covM1$Item9[4, ] 0.01605828 -0.001100515 -0.01608556 0.001417475 -0.001717755 + expected$covM1$Item9[4, ] 0.01605827 -0.001100514 -0.01608555 0.001417474 -0.001717757 - actual$covM1$Item9[5, ] -0.23997030 0.011692984 0.02224432 -0.001717755 0.051033680 + expected$covM1$Item9[5, ] -0.23997043 0.011692985 0.02224434 -0.001717757 0.051033776 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item13[1, ] 1.04553360 -5.082766e-02 0.0963631853 -1.078600e-02 -0.227807363 + expected$covM1$Item13[1, ] 1.04553372 -5.082766e-02 0.0963631018 -1.078600e-02 -0.227807504 - actual$covM1$Item13[2, ] -0.05082766 2.711746e-03 0.0004969759 3.961036e-06 0.010040925 + expected$covM1$Item13[2, ] -0.05082766 2.711746e-03 0.0004969787 3.960824e-06 0.010040930 - actual$covM1$Item13[3, ] 0.09636319 4.969759e-04 0.2975597447 -2.734946e-02 -0.049566222 + expected$covM1$Item13[3, ] 0.09636310 4.969787e-04 0.2975595246 -2.734944e-02 -0.049566213 - actual$covM1$Item13[4, ] -0.01078600 3.961036e-06 -0.0273494553 2.641030e-03 0.004925403 + expected$covM1$Item13[4, ] -0.01078600 3.960824e-06 -0.0273494353 2.641029e-03 0.004925402 - actual$covM1$Item13[5, ] -0.22780736 1.004092e-02 -0.0495662225 4.925403e-03 0.055335776 + expected$covM1$Item13[5, ] -0.22780750 1.004093e-02 -0.0495662131 4.925402e-03 0.055335835 actual$covM1$Item18 vs expected$covM1$Item18 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item18[1, ] 0.64989010 -0.041811549 -0.245923882 0.0182463987 -0.0410512296 + expected$covM1$Item18[1, ] 0.64989025 -0.041811557 -0.245923777 0.0182463909 -0.0410512574 - actual$covM1$Item18[2, ] -0.04181155 0.002766056 0.017856116 -0.0013686293 0.0024343619 + expected$covM1$Item18[2, ] -0.04181156 0.002766057 0.017856109 -0.0013686287 0.0024343635 - actual$covM1$Item18[3, ] -0.24592388 0.017856116 0.344027736 -0.0266760285 0.0056454178 + expected$covM1$Item18[3, ] -0.24592378 0.017856109 0.344027543 -0.0266760134 0.0056454190 - actual$covM1$Item18[4, ] 0.01824640 -0.001368629 -0.026676028 0.0021358616 -0.0003689830 + expected$covM1$Item18[4, ] 0.01824639 -0.001368629 -0.026676013 0.0021358604 -0.0003689831 - actual$covM1$Item18[5, ] -0.04105123 0.002434362 0.005645418 -0.0003689830 0.0035979546 + expected$covM1$Item18[5, ] -0.04105126 0.002434364 0.005645419 -0.0003689831 0.0035979576 ── Failure ('test-difNLR.R:112:3'): difNLR - examples at help page ───────────── Expected `fit8` to equal `fit8_expected`. Differences: actual$nlrPAR[[2]] | expected$nlrPAR[[2]] [1] 0.597985900 - 0.597985847 [1] [2] 1.156918830 - 1.156918663 [2] [3] -0.514219172 - -0.514219097 [3] [4] 0.111767616 - 0.111767570 [4] [5] 0.920269609 - 0.920269643 [5] actual$nlrSE[[2]] | expected$nlrSE[[2]] [1] 0.256279444 - 0.256279449 [1] [2] 0.335866760 - 0.335866689 [2] [3] 0.193369361 - 0.193369325 [3] [4] 0.107757106 - 0.107757121 [4] [5] 0.073776161 - 0.073776176 [5] actual$nlrSE[[7]] | expected$nlrSE[[7]] [1] 0.498615859 - 0.498615829 [1] [2] 0.446131728 - 0.446131722 [2] [3] 0.201181080 | 0.201181080 [3] [4] 0.485314866 - 0.485314861 [4] [5] 0.166305546 | 0.166305546 [5] actual$nlrSE[[20]] | expected$nlrSE[[20]] [1] 0.284859518 - 0.284859523 [1] [2] 0.399762956 - 0.399762947 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.044980133 - 0.044980132 [4] [5] 0.187248913 - 0.187248908 [5] `actual$seM0$Item20`: 0.284859518 0.399762956 0.044980133 0.187248913 `expected$seM0$Item20`: 0.284859523 0.399762947 0.044980132 0.187248908 actual$covM0$Item20 vs expected$covM0$Item20 [,1] [,2] [,3] [,4] - actual$covM0$Item20[1, ] 0.081144945 -0.01830561 -0.006659124 -0.015218388 + expected$covM0$Item20[1, ] 0.081144948 -0.01830561 -0.006659124 -0.015218388 - actual$covM0$Item20[2, ] -0.018305606 0.15981042 0.015099960 -0.065639907 + expected$covM0$Item20[2, ] -0.018305608 0.15981041 0.015099959 -0.065639903 actual$covM0$Item20[3, ] -0.006659124 0.01509996 0.002023212 -0.005189033 - actual$covM0$Item20[4, ] -0.015218388 -0.06563991 -0.005189033 0.035062155 + expected$covM0$Item20[4, ] -0.015218388 -0.06563990 -0.005189033 0.035062154 actual$parM1$Item2 | expected$parM1$Item2 [1] 0.597985900 - 0.597985847 [1] [2] 1.156918830 - 1.156918663 [2] [3] -0.514219172 - -0.514219097 [3] [4] 0.111767616 - 0.111767570 [4] [5] 0.920269609 - 0.920269643 [5] actual$parM1$Item3 | expected$parM1$Item3 [1] 1.507978797 - 1.507978832 [1] [2] 0.917941861 - 0.917941949 [2] [3] 0.075486495 - 0.075486759 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.903360998 - 0.903360977 [5] actual$parM1$Item8 | expected$parM1$Item8 [1] 0.082385659 - 0.082385051 [1] [2] 0.830626126 - 0.830626403 [2] [3] 0.046172880 - 0.046172822 [3] [4] 0.196301810 - 0.196302045 [4] [5] 1.000000000 | 1.000000000 [5] `actual$parM1$Item9`: 0.24040932 0.63539679 0.03016191 0.04631914 1.00000000 `expected$parM1$Item9`: 0.24040832 0.63539707 0.03016213 0.04631958 1.00000000 actual$parM1$Item12 | expected$parM1$Item12 [1] -0.433876993 - -0.433876975 [1] [2] 0.921956021 - 0.921956009 [2] [3] 0.099762694 - 0.099762693 [3] [4] 0.220123115 - 0.220123110 [4] [5] 1.000000000 | 1.000000000 [5] actual$parM1$Item16 | expected$parM1$Item16 [1] -0.510654562 - -0.510654210 [1] [2] 1.080508002 - 1.080507944 [2] [3] 0.015599456 - 0.015598920 [3] [4] 0.076472713 - 0.076472689 [4] [5] 1.000000000 | 1.000000000 [5] actual$parM1$Item18 | expected$parM1$Item18 [1] -0.600332460 - -0.600332436 [1] [2] 1.014631448 - 1.014631427 [2] [3] 0.134705322 - 0.134705348 [3] [4] 0.028827923 - 0.028827912 [4] [5] 1.000000000 | 1.000000000 [5] `actual$parM1$Item19`: -0.18778238 0.85453878 0.14282620 0.01274498 1.00000000 `expected$parM1$Item19`: -0.18778293 0.85453903 0.14282632 0.01274518 1.00000000 actual$parM1$Item20 | expected$parM1$Item20 [1] -1.192646663 - -1.192646644 [1] [2] 1.218708172 - 1.218708167 [2] [3] -0.193708132 - -0.193708151 [3] [4] 0.195847969 - 0.195847968 [4] [5] 1.000000000 | 1.000000000 [5] actual$seM1$Item2 | expected$seM1$Item2 [1] 0.256279444 - 0.256279449 [1] [2] 0.335866760 - 0.335866689 [2] [3] 0.193369361 - 0.193369325 [3] [4] 0.107757106 - 0.107757121 [4] [5] 0.073776161 - 0.073776176 [5] actual$seM1$Item3 | expected$seM1$Item3 [1] 0.521636660 - 0.521636597 [1] [2] 0.468280887 - 0.468280877 [2] [3] 0.139852135 - 0.139852165 [3] [4] 0.548974196 - 0.548974120 [4] [5] 0.065226156 - 0.065226143 [5] actual$seM1$Item7 | expected$seM1$Item7 [1] 0.498615859 - 0.498615829 [1] [2] 0.446131728 - 0.446131722 [2] [3] 0.201181080 | 0.201181080 [3] [4] 0.485314866 - 0.485314861 [4] [5] 0.166305546 | 0.166305546 [5] actual$seM1$Item8 | expected$seM1$Item8 [1] 0.357743238 - 0.357742983 [1] [2] 0.449173685 - 0.449173523 [2] [3] 0.120023338 - 0.120023326 [3] [4] 0.199479185 - 0.199478897 [4] [5] 0.168186212 - 0.168186104 [5] actual$seM1$Item9 | expected$seM1$Item9 [1] 0.474256177 - 0.474255764 [1] [2] 0.533609220 - 0.533608761 [2] [3] 0.101035059 - 0.101035143 [3] [4] 0.444278193 - 0.444276968 [4] [5] 0.288364865 - 0.288364587 [5] actual$seM1$Item12 | expected$seM1$Item12 [1] 0.336646938 - 0.336646944 [1] [2] 0.435268570 - 0.435268587 [2] [3] 0.136765439 - 0.136765472 [3] [4] 0.118180623 - 0.118180630 [4] [5] 0.191265456 - 0.191265468 [5] actual$seM1$Item16 | expected$seM1$Item16 [1] 0.233415158 - 0.233415147 [1] [2] 0.317610829 - 0.317610849 [2] [3] 0.109179248 - 0.109179312 [3] [4] 0.079269037 - 0.079269049 [4] [5] 0.140601358 - 0.140601371 [5] actual$seM1$Item18 | expected$seM1$Item18 [1] 0.235640824 - 0.235640788 [1] [2] 0.311619233 - 0.311619184 [2] [3] 0.109317175 - 0.109317182 [3] [4] 0.086003787 - 0.086003770 [4] [5] 0.162425735 - 0.162425751 [5] actual$seM1$Item19 | expected$seM1$Item19 [1] 0.279334792 - 0.279334683 [1] [2] 0.353276217 - 0.353276835 [2] [3] 0.112688877 - 0.112688973 [3] [4] 0.159165465 - 0.159165509 [4] [5] 0.182483039 - 0.182483219 [5] actual$seM1$Item20 | expected$seM1$Item20 [1] 0.292370307 - 0.292370300 [1] [2] 0.394802887 - 0.394802900 [2] [3] 0.161955537 - 0.161955547 [3] [4] 0.047927639 - 0.047927641 [4] [5] 0.192097512 - 0.192097516 [5] actual$covM1$Item2 vs expected$covM1$Item2 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item2[1, ] 0.065679154 0.02566519 -0.019609044 -0.002997836 -0.012192613 + expected$covM1$Item2[1, ] 0.065679156 0.02566518 -0.019609039 -0.002997838 -0.012192615 - actual$covM1$Item2[2, ] 0.025665190 0.11280648 -0.048561392 0.031702945 -0.021355351 + expected$covM1$Item2[2, ] 0.025665183 0.11280643 -0.048561371 0.031702942 -0.021355351 - actual$covM1$Item2[3, ] -0.019609044 -0.04856139 0.037391710 -0.014072577 0.009551815 + expected$covM1$Item2[3, ] -0.019609039 -0.04856137 0.037391696 -0.014072576 0.009551815 - actual$covM1$Item2[4, ] -0.002997836 0.03170294 -0.014072577 0.011611594 -0.005036032 + expected$covM1$Item2[4, ] -0.002997838 0.03170294 -0.014072576 0.011611597 -0.005036033 - actual$covM1$Item2[5, ] -0.012192613 -0.02135535 0.009551815 -0.005036032 0.005442922 + expected$covM1$Item2[5, ] -0.012192615 -0.02135535 0.009551815 -0.005036033 0.005442924 actual$covM1$Item3 vs expected$covM1$Item3 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item3[1, ] 0.272104806 -0.12863746 -0.020122594 -0.22500310 0.006606135 + expected$covM1$Item3[1, ] 0.272104740 -0.12863744 -0.020122622 -0.22500304 0.006606133 - actual$covM1$Item3[2, ] -0.128637462 0.21928699 0.018169230 0.23931738 -0.027586335 + expected$covM1$Item3[2, ] -0.128637437 0.21928698 0.018169284 0.23931734 -0.027586329 - actual$covM1$Item3[3, ] -0.020122594 0.01816923 0.019558620 0.02033012 -0.002319488 + expected$covM1$Item3[3, ] -0.020122622 0.01816928 0.019558628 0.02033018 -0.002319495 - actual$covM1$Item3[4, ] -0.225003100 0.23931738 0.020330125 0.30137267 -0.026579272 + expected$covM1$Item3[4, ] -0.225003038 0.23931734 0.020330182 0.30137258 -0.026579263 - actual$covM1$Item3[5, ] 0.006606135 -0.02758634 -0.002319488 -0.02657927 0.004254451 + expected$covM1$Item3[5, ] 0.006606133 -0.02758633 -0.002319495 -0.02657926 0.004254450 actual$covM1$Item7 vs expected$covM1$Item7 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item7[1, ] 0.24861777 -0.13168198 -0.05711450 -0.19363009 0.02680847 + expected$covM1$Item7[1, ] 0.24861774 -0.13168198 -0.05711449 -0.19363008 0.02680848 - actual$covM1$Item7[2, ] -0.13168198 0.19903352 0.07840870 0.20584411 -0.06988717 + expected$covM1$Item7[2, ] -0.13168198 0.19903351 0.07840870 0.20584410 -0.06988717 - actual$covM1$Item7[3, ] -0.05711450 0.07840870 0.04047383 0.08202830 -0.02784201 + expected$covM1$Item7[3, ] -0.05711449 0.07840870 0.04047383 0.08202830 -0.02784201 - actual$covM1$Item7[4, ] -0.19363009 0.20584411 0.08202830 0.23553052 -0.06625726 + expected$covM1$Item7[4, ] -0.19363008 0.20584410 0.08202830 0.23553051 -0.06625726 - actual$covM1$Item7[5, ] 0.02680847 -0.06988717 -0.02784201 -0.06625726 0.02765753 + expected$covM1$Item7[5, ] 0.02680848 -0.06988717 -0.02784201 -0.06625726 0.02765753 actual$covM1$Item8 vs expected$covM1$Item8 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item8[1, ] 0.127980224 -0.01853840 -0.007895556 -0.030616899 -0.013483788 + expected$covM1$Item8[1, ] 0.127980042 -0.01853835 -0.007895529 -0.030616822 -0.013483787 - actual$covM1$Item8[2, ] -0.018538398 0.20175700 0.011072014 0.083461529 -0.069883402 + expected$covM1$Item8[2, ] -0.018538353 0.20175685 0.011071960 0.083461376 -0.069883326 - actual$covM1$Item8[3, ] -0.007895556 0.01107201 0.014405602 0.004651151 -0.003904769 + expected$covM1$Item8[3, ] -0.007895529 0.01107196 0.014405599 0.004651120 -0.003904753 - actual$covM1$Item8[4, ] -0.030616899 0.08346153 0.004651151 0.039791945 -0.025890385 + expected$covM1$Item8[4, ] -0.030616822 0.08346138 0.004651120 0.039791830 -0.025890328 - actual$covM1$Item8[5, ] -0.013483788 -0.06988340 -0.003904769 -0.025890385 0.028286602 + expected$covM1$Item8[5, ] -0.013483787 -0.06988333 -0.003904753 -0.025890328 0.028286566 actual$covM1$Item9 vs expected$covM1$Item9 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item9[1, ] 0.224918921 -0.07447685 -0.008330165 -0.11316741 0.002628247 + expected$covM1$Item9[1, ] 0.224918530 -0.07447642 -0.008330201 -0.11316683 0.002628051 - actual$covM1$Item9[2, ] -0.074476847 0.28473880 0.013489919 0.22727230 -0.146796537 + expected$covM1$Item9[2, ] -0.074476424 0.28473831 0.013490030 0.22727146 -0.146796259 - actual$covM1$Item9[3, ] -0.008330165 0.01348992 0.010208083 0.01085350 -0.007013488 + expected$covM1$Item9[3, ] -0.008330201 0.01349003 0.010208100 0.01085357 -0.007013541 - actual$covM1$Item9[4, ] -0.113167413 0.22727230 0.010853503 0.19738311 -0.108918602 + expected$covM1$Item9[4, ] -0.113166827 0.22727146 0.010853575 0.19738202 -0.108918167 - actual$covM1$Item9[5, ] 0.002628247 -0.14679654 -0.007013488 -0.10891860 0.083154295 + expected$covM1$Item9[5, ] 0.002628051 -0.14679626 -0.007013541 -0.10891817 0.083154135 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item12[1, ] 0.113331161 -0.002995872 -0.008519888 -0.014343800 -0.021811108 + expected$covM1$Item12[1, ] 0.113331165 -0.002995871 -0.008519885 -0.014343801 -0.021811109 - actual$covM1$Item12[2, ] -0.002995872 0.189458728 0.020012934 0.046964457 -0.076096847 + expected$covM1$Item12[2, ] -0.002995871 0.189458743 0.020012948 0.046964462 -0.076096856 - actual$covM1$Item12[3, ] -0.008519888 0.020012934 0.018704785 0.005060958 -0.008230797 + expected$covM1$Item12[3, ] -0.008519885 0.020012948 0.018704794 0.005060961 -0.008230804 - actual$covM1$Item12[4, ] -0.014343800 0.046964457 0.005060958 0.013966660 -0.016618142 + expected$covM1$Item12[4, ] -0.014343801 0.046964462 0.005060961 0.013966661 -0.016618144 - actual$covM1$Item12[5, ] -0.021811108 -0.076096847 -0.008230797 -0.016618142 0.036582475 + expected$covM1$Item12[5, ] -0.021811109 -0.076096856 -0.008230804 -0.016618144 0.036582479 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item16[1, ] 0.054482636 -0.002616064 -0.0059813192 -0.0073820474 -0.0118201506 + expected$covM1$Item16[1, ] 0.054482631 -0.002616035 -0.0059813191 -0.0073820407 -0.0118201626 - actual$covM1$Item16[2, ] -0.002616064 0.100876639 0.0014047195 0.0222772297 -0.0397191121 + expected$covM1$Item16[2, ] -0.002616035 0.100876651 0.0014046713 0.0222772350 -0.0397191188 - actual$covM1$Item16[3, ] -0.005981319 0.001404719 0.0119201083 0.0003188272 -0.0005713070 + expected$covM1$Item16[3, ] -0.005981319 0.001404671 0.0119201223 0.0003188151 -0.0005712869 - actual$covM1$Item16[4, ] -0.007382047 0.022277230 0.0003188272 0.0062835803 -0.0075099387 + expected$covM1$Item16[4, ] -0.007382041 0.022277235 0.0003188151 0.0062835822 -0.0075099410 - actual$covM1$Item16[5, ] -0.011820151 -0.039719112 -0.0005713070 -0.0075099387 0.0197687419 + expected$covM1$Item16[5, ] -0.011820163 -0.039719119 -0.0005712869 -0.0075099410 0.0197687456 actual$covM1$Item18 vs expected$covM1$Item18 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item18[1, ] 0.055526598 -0.005107745 -0.005777831 -0.008518791 -0.012020502 + expected$covM1$Item18[1, ] 0.055526581 -0.005107706 -0.005777826 -0.008518781 -0.012020516 - actual$covM1$Item18[2, ] -0.005107745 0.097106546 0.012484482 0.024001296 -0.045575976 + expected$covM1$Item18[2, ] -0.005107706 0.097106516 0.012484487 0.024001287 -0.045575976 - actual$covM1$Item18[3, ] -0.005777831 0.012484482 0.011950245 0.003163198 -0.006030887 + expected$covM1$Item18[3, ] -0.005777826 0.012484487 0.011950246 0.003163199 -0.006030892 - actual$covM1$Item18[4, ] -0.008518791 0.024001296 0.003163198 0.007396651 -0.009759212 + expected$covM1$Item18[4, ] -0.008518781 0.024001287 0.003163199 0.007396648 -0.009759212 - actual$covM1$Item18[5, ] -0.012020502 -0.045575976 -0.006030887 -0.009759212 0.026382119 + expected$covM1$Item18[5, ] -0.012020516 -0.045575976 -0.006030892 -0.009759212 0.026382125 actual$covM1$Item19 vs expected$covM1$Item19 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item19[1, ] 0.078027926 -0.01036264 -0.006297070 -0.018930362 -0.012313163 + expected$covM1$Item19[1, ] 0.078027865 -0.01036266 -0.006297082 -0.018930344 -0.012313140 - actual$covM1$Item19[2, ] -0.010362636 0.12480409 0.020498902 0.052043046 -0.059447447 + expected$covM1$Item19[2, ] -0.010362665 0.12480452 0.020498987 0.052043164 -0.059447623 - actual$covM1$Item19[3, ] -0.006297070 0.02049890 0.012698783 0.008692298 -0.009960841 + expected$covM1$Item19[3, ] -0.006297082 0.02049899 0.012698805 0.008692324 -0.009960876 - actual$covM1$Item19[4, ] -0.018930362 0.05204305 0.008692298 0.025333645 -0.022091699 + expected$covM1$Item19[4, ] -0.018930344 0.05204316 0.008692324 0.025333659 -0.022091746 - actual$covM1$Item19[5, ] -0.012313163 -0.05944745 -0.009960841 -0.022091699 0.033300060 + expected$covM1$Item19[5, ] -0.012313140 -0.05944762 -0.009960876 -0.022091746 0.033300125 actual$covM1$Item20 vs expected$covM1$Item20 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item20[1, ] 0.085480397 -0.001719418 -0.010946770 -0.005364424 -0.022613298 + expected$covM1$Item20[1, ] 0.085480392 -0.001719420 -0.010946766 -0.005364424 -0.022613297 - actual$covM1$Item20[2, ] -0.001719418 0.155869320 -0.023641346 0.016042893 -0.066798603 + expected$covM1$Item20[2, ] -0.001719420 0.155869330 -0.023641348 0.016042894 -0.066798608 - actual$covM1$Item20[3, ] -0.010946770 -0.023641346 0.026229596 -0.002529073 0.010504071 + expected$covM1$Item20[3, ] -0.010946766 -0.023641348 0.026229599 -0.002529074 0.010504071 - actual$covM1$Item20[4, ] -0.005364424 0.016042893 -0.002529073 0.002297059 -0.005781457 + expected$covM1$Item20[4, ] -0.005364424 0.016042894 -0.002529074 0.002297059 -0.005781457 - actual$covM1$Item20[5, ] -0.022613298 -0.066798603 0.010504071 -0.005781457 0.036901454 + expected$covM1$Item20[5, ] -0.022613297 -0.066798608 0.010504071 -0.005781457 0.036901456 ── Failure ('test-difNLR.R:118:3'): difNLR - examples at help page ───────────── Expected `fit9` to equal `fit9_expected`. Differences: `actual$nlrPAR[[7]]`: 0.552188439 0.689291692 0.272423602 0.000000000 `expected$nlrPAR[[7]]`: 0.552188451 0.689291690 0.272423576 0.000000000 `actual$nlrPAR[[10]]`: 0.281290398 0.611640553 0.092852151 0.000000000 `expected$nlrPAR[[10]]`: 0.281290404 0.611640549 0.092852128 0.000000000 `actual$nlrSE[[7]]`: 0.067721747 0.056696510 0.096835714 0.000000000 `expected$nlrSE[[7]]`: 0.067721748 0.056696509 0.096835717 0.000000000 `actual$nlrSE[[10]]`: 0.066083583 0.053634794 0.093527262 0.000000000 `expected$nlrSE[[10]]`: 0.066083583 0.053634793 0.093527266 0.000000000 `actual$parM0$Item7`: 0.552188439 0.689291692 0.272423602 `expected$parM0$Item7`: 0.552188451 0.689291690 0.272423576 `actual$parM0$Item10`: 0.281290398 0.611640553 0.092852151 `expected$parM0$Item10`: 0.281290404 0.611640549 0.092852128 `actual$seM0$Item7`: 0.067721747 0.056696510 0.096835714 `expected$seM0$Item7`: 0.067721748 0.056696509 0.096835717 `actual$seM0$Item10`: 0.066083583 0.053634794 0.093527262 `expected$seM0$Item10`: 0.066083583 0.053634793 0.093527266 actual$covM0$Item7 vs expected$covM0$Item7 [,1] [,2] [,3] - actual$covM0$Item7[1, ] 0.0045862351 0.0007942599 -0.0042944437 + expected$covM0$Item7[1, ] 0.0045862352 0.0007942599 -0.0042944438 - actual$covM0$Item7[2, ] 0.0007942599 0.0032144942 0.0003866655 + expected$covM0$Item7[2, ] 0.0007942599 0.0032144942 0.0003866656 - actual$covM0$Item7[3, ] -0.0042944437 0.0003866655 0.0093771555 + expected$covM0$Item7[3, ] -0.0042944438 0.0003866656 0.0093771560 actual$covM0$Item10 vs expected$covM0$Item10 [,1] [,2] [,3] - actual$covM0$Item10[1, ] 0.0043670400 0.0003455708 -0.0043116925 + expected$covM0$Item10[1, ] 0.0043670400 0.0003455710 -0.0043116927 - actual$covM0$Item10[2, ] 0.0003455708 0.0028766911 0.0001151672 + expected$covM0$Item10[2, ] 0.0003455710 0.0028766910 0.0001151668 - actual$covM0$Item10[3, ] -0.0043116925 0.0001151672 0.0087473487 + expected$covM0$Item10[3, ] -0.0043116927 0.0001151668 0.0087473494 `actual$parM1$Item1`: 0.555393692 0.995464991 -0.865126851 -0.152420868 `expected$parM1$Item1`: 0.555393699 0.995465005 -0.865126856 -0.152420890 `actual$parM1$Item7`: 0.559439988 0.719833883 0.252572198 -0.063833226 `expected$parM1$Item7`: 0.559439989 0.719833875 0.252572202 -0.063833206 `actual$seM1$Item1`: 0.074604012 0.094516054 0.100535023 0.126653526 `expected$seM1$Item1`: 0.074604014 0.094516056 0.100535024 0.126653528 `actual$seM1$Item7`: 0.069709755 0.079613910 0.102734359 0.113448595 `expected$seM1$Item7`: 0.069709754 0.079613908 0.102734368 0.113448579 actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] actual$covM1$Item1[1, ] 0.005565759 0.002338469 -0.005565759 -0.002338469 - actual$covM1$Item1[2, ] 0.002338469 0.008933284 -0.002338469 -0.008933284 + expected$covM1$Item1[2, ] 0.002338469 0.008933285 -0.002338469 -0.008933285 - actual$covM1$Item1[3, ] -0.005565759 -0.002338469 0.010107291 0.001271138 + expected$covM1$Item1[3, ] -0.005565759 -0.002338469 0.010107291 0.001271137 - actual$covM1$Item1[4, ] -0.002338469 -0.008933284 0.001271138 0.016041116 + expected$covM1$Item1[4, ] -0.002338469 -0.008933285 0.001271137 0.016041116 actual$covM1$Item7 vs expected$covM1$Item7 [,1] [,2] [,3] [,4] actual$covM1$Item7[1, ] 0.004859450 0.001607575 -0.004859450 -0.001607575 - actual$covM1$Item7[2, ] 0.001607575 0.006338375 -0.001607574 -0.006338375 + expected$covM1$Item7[2, ] 0.001607575 0.006338374 -0.001607575 -0.006338374 - actual$covM1$Item7[3, ] -0.004859450 -0.001607574 0.010554349 0.003928016 + expected$covM1$Item7[3, ] -0.004859450 -0.001607575 0.010554350 0.003928018 - actual$covM1$Item7[4, ] -0.001607575 -0.006338375 0.003928016 0.012870584 + expected$covM1$Item7[4, ] -0.001607575 -0.006338374 0.003928018 0.012870580 ── Failure ('test-difNLR.R:125:3'): difNLR - examples at help page ───────────── Expected `fit10` to equal `fit10_expected`. Differences: actual$nlrPAR[[1]] | expected$nlrPAR[[1]] [1] 0.352215454 - 0.352215398 [1] [2] 1.162842181 - 1.162842153 [2] [3] -1.154791212 - -1.154791138 [3] [4] 0.134319300 - 0.134319297 [4] [5] 0.978822642 - 0.978822657 [5] [6] 0.021177358 - 0.021177343 [6] actual$nlrPAR[[9]] | expected$nlrPAR[[9]] [1] 0.247626831 - 0.247627610 [1] [2] 0.639745163 - 0.639744929 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.051677451 - 0.051677078 [4] [5] 0.997704129 - 0.997704122 [5] [6] 0.002295871 - 0.002295878 [6] actual$nlrPAR[[19]] | expected$nlrPAR[[19]] [1] -0.338788974 - -0.338789188 [1] [2] 1.026951113 - 1.026951238 [2] [3] 0.585537899 - 0.585537978 [3] [4] 0.061911742 - 0.061911810 [4] [5] 1.000000000 | 1.000000000 [5] [6] -0.149407491 - -0.149407505 [6] actual$nlrSE[[1]] | expected$nlrSE[[1]] [1] 0.244158662 - 0.244158657 [1] [2] 0.291674011 - 0.291674027 [2] [3] 0.341276352 - 0.341276339 [3] [4] 0.067339932 - 0.067339936 [4] [5] 0.083503178 - 0.083503183 [5] [6] 0.105691296 | 0.105691296 [6] actual$nlrSE[[7]] | expected$nlrSE[[7]] [1] 0.460828393 - 0.460828449 [1] [2] 0.445556540 - 0.445556550 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.477252118 - 0.477252149 [4] [5] 0.143832805 - 0.143832803 [5] [6] 0.030632741 | 0.030632741 [6] actual$nlrSE[[9]] | expected$nlrSE[[9]] [1] 0.464768649 - 0.464768825 [1] [2] 0.532542182 - 0.532542491 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.433897776 - 0.433898621 [4] [5] 0.286004872 - 0.286005089 [5] [6] 0.036888569 - 0.036888559 [6] actual$nlrSE[[19]] | expected$nlrSE[[19]] [1] 0.293265666 - 0.293265676 [1] [2] 0.345509359 - 0.345509334 [2] [3] 0.277210636 - 0.277210633 [3] [4] 0.110267583 - 0.110267544 [4] [5] 0.156016742 - 0.156016710 [5] [6] 0.104063828 - 0.104063823 [6] actual$parM0$Item9 | expected$parM0$Item9 [1] 0.247626831 - 0.247627610 [1] [2] 0.639745163 - 0.639744929 [2] [3] 0.051677451 - 0.051677078 [3] [4] 0.997704129 - 0.997704122 [4] [5] 0.002295871 - 0.002295878 [5] actual$seM0$Item7 | expected$seM0$Item7 [1] 0.460828393 - 0.460828449 [1] [2] 0.445556540 - 0.445556550 [2] [3] 0.477252118 - 0.477252149 [3] [4] 0.143832805 - 0.143832803 [4] [5] 0.030632741 | 0.030632741 [5] actual$seM0$Item9 | expected$seM0$Item9 [1] 0.464768649 - 0.464768825 [1] [2] 0.532542182 - 0.532542491 [2] [3] 0.433897776 - 0.433898621 [3] [4] 0.286004872 - 0.286005089 [4] [5] 0.036888569 - 0.036888559 [5] actual$covM0$Item7 vs expected$covM0$Item7 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item7[1, ] 0.212362808 -0.094143900 -0.156584884 0.0119019143 -0.0037323225 + expected$covM0$Item7[1, ] 0.212362860 -0.094143928 -0.156584925 0.0119019169 -0.0037323230 - actual$covM0$Item7[2, ] -0.094143900 0.198520630 0.200777938 -0.0601200805 0.0016901313 + expected$covM0$Item7[2, ] -0.094143928 0.198520639 0.200777955 -0.0601200800 0.0016901308 - actual$covM0$Item7[3, ] -0.156584884 0.200777938 0.227769584 -0.0556754197 0.0027817835 + expected$covM0$Item7[3, ] -0.156584925 0.200777955 0.227769613 -0.0556754204 0.0027817831 - actual$covM0$Item7[4, ] 0.011901914 -0.060120080 -0.055675420 0.0206878757 -0.0006579880 + expected$covM0$Item7[4, ] 0.011901917 -0.060120080 -0.055675420 0.0206878753 -0.0006579877 - actual$covM0$Item7[5, ] -0.003732323 0.001690131 0.002781783 -0.0006579880 0.0009383648 + expected$covM0$Item7[5, ] -0.003732323 0.001690131 0.002781783 -0.0006579877 0.0009383648 actual$covM0$Item9 vs expected$covM0$Item9 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item9[1, ] 0.2160098974 -6.476477e-02 -1.030129e-01 -0.0022779940 -1.760865e-04 + expected$covM0$Item9[1, ] 0.2160100606 -6.476500e-02 -1.030133e-01 -0.0022778702 -1.760864e-04 - actual$covM0$Item9[2, ] -0.0647647690 2.836012e-01 2.213988e-01 -0.1449467105 1.480259e-05 + expected$covM0$Item9[2, ] -0.0647650005 2.836015e-01 2.213994e-01 -0.1449469175 1.480101e-05 - actual$covM0$Item9[3, ] -0.1030129342 2.213988e-01 1.882673e-01 -0.1051302805 5.657609e-05 + expected$covM0$Item9[3, ] -0.1030132619 2.213994e-01 1.882680e-01 -0.1051305951 5.657496e-05 - actual$covM0$Item9[4, ] -0.0022779940 -1.449467e-01 -1.051303e-01 0.0817987867 -6.575088e-04 + expected$covM0$Item9[4, ] -0.0022778702 -1.449469e-01 -1.051306e-01 0.0817989109 -6.575075e-04 - actual$covM0$Item9[5, ] -0.0001760865 1.480259e-05 5.657609e-05 -0.0006575088 1.360767e-03 + expected$covM0$Item9[5, ] -0.0001760864 1.480101e-05 5.657496e-05 -0.0006575075 1.360766e-03 actual$parM1$Item1 | expected$parM1$Item1 [1] 0.352215454 - 0.352215398 [1] [2] 1.162842181 - 1.162842153 [2] [3] -1.154791212 - -1.154791138 [3] [4] 0.134319300 - 0.134319297 [4] [5] 0.978822642 - 0.978822657 [5] [6] 0.021177358 - 0.021177343 [6] actual$parM1$Item7 | expected$parM1$Item7 [1] 0.557582568 - 0.557582567 [1] [2] 0.712124977 - 0.712124987 [2] [3] 0.376374508 - 0.376374549 [3] [4] 0.000000000 | 0.000000000 [4] [5] 1.000000000 | 1.000000000 [5] [6] -0.030721342 - -0.030721351 [6] actual$parM1$Item8 | expected$parM1$Item8 [1] 0.373665964 - 0.373666098 [1] [2] 0.979433086 - 0.979433010 [2] [3] -0.351044400 - -0.351044421 [3] [4] 0.234844420 - 0.234844380 [4] [5] 0.886701304 - 0.886701302 [5] [6] 0.113298696 - 0.113298698 [6] actual$parM1$Item11 | expected$parM1$Item11 [1] 0.821799628 - 0.821799927 [1] [2] 0.892827642 - 0.892827427 [2] [3] -0.017299339 - -0.017299667 [3] [4] 0.035553945 - 0.035553763 [4] [5] 1.000000000 | 1.000000000 [5] [6] -0.014779686 - -0.014779605 [6] actual$parM1$Item14 | expected$parM1$Item14 [1] -0.501624851 - -0.501625019 [1] [2] 0.864989151 - 0.864989228 [2] [3] 0.111855727 - 0.111855771 [3] [4] 0.063395655 - 0.063395703 [4] [5] 1.000000000 | 1.000000000 [5] [6] 0.000000000 | 0.000000000 [6] actual$parM1$Item16 | expected$parM1$Item16 [1] -0.510654562 - -0.510654210 [1] [2] 1.080508002 - 1.080507944 [2] [3] 0.015599456 - 0.015598920 [3] [4] 0.076472713 - 0.076472689 [4] [5] 1.000000000 | 1.000000000 [5] [6] 0.000000000 | 0.000000000 [6] actual$parM1$Item19 | expected$parM1$Item19 [1] -0.338788974 - -0.338789188 [1] [2] 1.026951113 - 1.026951238 [2] [3] 0.585537899 - 0.585537978 [3] [4] 0.061911742 - 0.061911810 [4] [5] 1.000000000 | 1.000000000 [5] [6] -0.149407491 - -0.149407505 [6] actual$seM1$Item1 | expected$seM1$Item1 [1] 0.244158662 - 0.244158657 [1] [2] 0.291674011 - 0.291674027 [2] [3] 0.341276352 - 0.341276339 [3] [4] 0.067339932 - 0.067339936 [4] [5] 0.083503178 - 0.083503183 [5] [6] 0.105691296 | 0.105691296 [6] actual$seM1$Item7 | expected$seM1$Item7 [1] 0.515971332 - 0.515971341 [1] [2] 0.434907110 | 0.434907110 [2] [3] 0.303436166 - 0.303436189 [3] [4] 0.456730046 - 0.456730039 [4] [5] 0.168363776 - 0.168363774 [5] [6] 0.079816386 | 0.079816386 [6] actual$seM1$Item8 | expected$seM1$Item8 [1] 0.369078034 - 0.369078012 [1] [2] 0.441531312 - 0.441531342 [2] [3] 0.314818618 - 0.314818594 [3] [4] 0.145956190 - 0.145956228 [4] [5] 0.102592249 - 0.102592261 [5] [6] 0.089117030 - 0.089117032 [6] actual$seM1$Item11 | expected$seM1$Item11 [1] 0.321227742 - 0.321227844 [1] [2] 0.366683936 - 0.366684119 [2] [3] 0.216059242 - 0.216059189 [3] [4] 0.285346569 - 0.285346881 [4] [5] 0.098277328 - 0.098277317 [5] [6] 0.059399889 - 0.059399854 [6] actual$seM1$Item14 | expected$seM1$Item14 [1] 0.344221248 - 0.344221226 [1] [2] 0.379547996 - 0.379547886 [2] [3] 0.307898170 - 0.307898202 [3] [4] 0.127286626 - 0.127286559 [4] [5] 0.244256576 - 0.244256518 [5] [6] 0.137244654 - 0.137244661 [6] actual$seM1$Item16 | expected$seM1$Item16 [1] 0.263698611 - 0.263698513 [1] [2] 0.317694287 - 0.317694305 [2] [3] 0.265001070 - 0.265001108 [3] [4] 0.079289062 - 0.079289074 [4] [5] 0.151292397 - 0.151292374 [5] [6] 0.108903078 - 0.108903021 [6] actual$seM1$Item19 | expected$seM1$Item19 [1] 0.293265666 - 0.293265676 [1] [2] 0.345509359 - 0.345509334 [2] [3] 0.277210636 - 0.277210633 [3] [4] 0.110267583 - 0.110267544 [4] [5] 0.156016742 - 0.156016710 [5] [6] 0.104063828 - 0.104063823 [6] actual$seM1$Item20 | expected$seM1$Item20 [1] 0.328003094 - 0.328003101 [1] [2] 0.395824164 - 0.395824153 [2] [3] 0.391843491 - 0.391843523 [3] [4] 0.047961151 | 0.047961151 [4] [5] 0.200224027 - 0.200224040 [5] [6] 0.162426278 - 0.162426290 [6] actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item1[1, ] 0.059613452 0.033895448 -0.03788850 0.0013905549 -0.0162716515 -0.0012268023 + expected$covM1$Item1[1, ] 0.059613450 0.033895451 -0.03788849 0.0013905550 -0.0162716520 -0.0012268058 - actual$covM1$Item1[2, ] 0.033895448 0.085073729 -0.05659170 0.0163633049 -0.0200493409 -0.0092486948 + expected$covM1$Item1[2, ] 0.033895451 0.085073738 -0.05659170 0.0163633066 -0.0200493442 -0.0092486969 - actual$covM1$Item1[3, ] -0.037888499 -0.056591699 0.11646955 -0.0140781627 0.0185985498 -0.0191014662 + expected$covM1$Item1[3, ] -0.037888488 -0.056591700 0.11646954 -0.0140781639 0.0185985489 -0.0191014640 - actual$covM1$Item1[4, ] 0.001390555 0.016363305 -0.01407816 0.0045346665 -0.0033525860 -0.0007070005 + expected$covM1$Item1[4, ] 0.001390555 0.016363307 -0.01407816 0.0045346669 -0.0033525866 -0.0007070006 - actual$covM1$Item1[5, ] -0.016271652 -0.020049341 0.01859855 -0.0033525860 0.0069727807 0.0005040500 + expected$covM1$Item1[5, ] -0.016271652 -0.020049344 0.01859855 -0.0033525866 0.0069727816 0.0005040511 - actual$covM1$Item1[6, ] -0.001226802 -0.009248695 -0.01910147 -0.0007070005 0.0005040500 0.0111706500 + expected$covM1$Item1[6, ] -0.001226806 -0.009248697 -0.01910146 -0.0007070006 0.0005040511 0.0111706500 actual$covM1$Item7 vs expected$covM1$Item7 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item7[1, ] 0.266226415 -0.113628960 -0.09733677 -0.174640245 0.009870489 0.013157213 + expected$covM1$Item7[1, ] 0.266226425 -0.113628963 -0.09733680 -0.174640246 0.009870488 0.013157219 - actual$covM1$Item7[2, ] -0.113628960 0.189144194 0.07184297 0.187418804 -0.065339144 0.007629050 + expected$covM1$Item7[2, ] -0.113628963 0.189144194 0.07184299 0.187418802 -0.065339143 0.007629049 - actual$covM1$Item7[3, ] -0.097336771 0.071842970 0.09207351 0.080183890 -0.012665938 -0.015228160 + expected$covM1$Item7[3, ] -0.097336804 0.071842985 0.09207352 0.080183911 -0.012665940 -0.015228159 - actual$covM1$Item7[4, ] -0.174640245 0.187418804 0.08018389 0.208602335 -0.057307789 0.004419499 + expected$covM1$Item7[4, ] -0.174640246 0.187418802 0.08018391 0.208602329 -0.057307786 0.004419496 - actual$covM1$Item7[5, ] 0.009870489 -0.065339144 -0.01266594 -0.057307789 0.028346361 -0.007015564 + expected$covM1$Item7[5, ] 0.009870488 -0.065339143 -0.01266594 -0.057307786 0.028346360 -0.007015564 - actual$covM1$Item7[6, ] 0.013157213 0.007629050 -0.01522816 0.004419499 -0.007015564 0.006370656 + expected$covM1$Item7[6, ] 0.013157219 0.007629049 -0.01522816 0.004419496 -0.007015564 0.006370655 actual$covM1$Item8 vs expected$covM1$Item8 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item8[1, ] 0.136218595 -0.001234253 -0.053715358 -0.017823004 -0.0171254833 0.0074588463 + expected$covM1$Item8[1, ] 0.136218579 -0.001234256 -0.053715336 -0.017823007 -0.0171254796 0.0074588406 - actual$covM1$Item8[2, ] -0.001234253 0.194949900 -0.011393082 0.058559684 -0.0377344370 -0.0153598130 + expected$covM1$Item8[2, ] -0.001234256 0.194949926 -0.011393077 0.058559705 -0.0377344472 -0.0153598188 - actual$covM1$Item8[3, ] -0.053715358 -0.011393082 0.099110762 -0.003505089 0.0128447999 -0.0216946963 + expected$covM1$Item8[3, ] -0.053715336 -0.011393077 0.099110747 -0.003505091 0.0128447970 -0.0216946942 - actual$covM1$Item8[4, ] -0.017823004 0.058559684 -0.003505089 0.021303209 -0.0099108824 -0.0039097096 + expected$covM1$Item8[4, ] -0.017823007 0.058559705 -0.003505091 0.021303220 -0.0099108880 -0.0039097113 - actual$covM1$Item8[5, ] -0.017125483 -0.037734437 0.012844800 -0.009910882 0.0105251695 0.0005678518 + expected$covM1$Item8[5, ] -0.017125480 -0.037734447 0.012844797 -0.009910888 0.0105251721 0.0005678539 - actual$covM1$Item8[6, ] 0.007458846 -0.015359813 -0.021694696 -0.003909710 0.0005678518 0.0079418450 + expected$covM1$Item8[6, ] 0.007458841 -0.015359819 -0.021694694 -0.003909711 0.0005678539 0.0079418455 actual$covM1$Item11 vs expected$covM1$Item11 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item11[1, ] 0.103187262 -0.0285811054 -0.019794494 -0.0495141221 -0.005389108 0.0052465669 + expected$covM1$Item11[1, ] 0.103187328 -0.0285812587 -0.019794464 -0.0495142615 -0.005389079 0.0052465622 - actual$covM1$Item11[2, ] -0.028581105 0.1344571089 -0.006164421 0.0971610979 -0.031410636 0.0007173716 + expected$covM1$Item11[2, ] -0.028581259 0.1344572434 -0.006164344 0.0971612630 -0.031410646 0.0007173332 - actual$covM1$Item11[3, ] -0.019794494 -0.0061644206 0.046681596 -0.0051219820 0.006834153 -0.0112628186 + expected$covM1$Item11[3, ] -0.019794464 -0.0061643439 0.046681573 -0.0051219438 0.006834130 -0.0112628070 - actual$covM1$Item11[4, ] -0.049514122 0.0971610979 -0.005121982 0.0814226647 -0.020164479 0.0005750417 + expected$covM1$Item11[4, ] -0.049514262 0.0971612630 -0.005121944 0.0814228427 -0.020164500 0.0005750174 - actual$covM1$Item11[5, ] -0.005389108 -0.0314106362 0.006834153 -0.0201644787 0.009658433 -0.0019029343 + expected$covM1$Item11[5, ] -0.005389079 -0.0314106460 0.006834130 -0.0201644997 0.009658431 -0.0019029235 - actual$covM1$Item11[6, ] 0.005246567 0.0007173716 -0.011262819 0.0005750417 -0.001902934 0.0035283468 + expected$covM1$Item11[6, ] 0.005246562 0.0007173332 -0.011262807 0.0005750174 -0.001902924 0.0035283427 actual$covM1$Item14 vs expected$covM1$Item14 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item14[1, ] 0.118488267 0.005535921 -0.052989676 -0.0113234928 -0.03962850 0.0230421139 + expected$covM1$Item14[1, ] 0.118488253 0.005535929 -0.052989676 -0.0113234873 -0.03962849 0.0230421137 - actual$covM1$Item14[2, ] 0.005535921 0.144056682 0.013477919 0.0445211748 -0.08143136 0.0022770389 + expected$covM1$Item14[2, ] 0.005535929 0.144056598 0.013477926 0.0445211355 -0.08143132 0.0022770391 - actual$covM1$Item14[3, ] -0.052989676 0.013477919 0.094801283 0.0050631157 0.01437575 -0.0391800641 + expected$covM1$Item14[3, ] -0.052989676 0.013477926 0.094801303 0.0050631158 0.01437575 -0.0391800695 - actual$covM1$Item14[4, ] -0.011323493 0.044521175 0.005063116 0.0162018851 -0.02224758 0.0003227620 + expected$covM1$Item14[4, ] -0.011323487 0.044521135 0.005063116 0.0162018680 -0.02224756 0.0003227622 - actual$covM1$Item14[5, ] -0.039628496 -0.081431362 0.014375754 -0.0222475791 0.05966128 -0.0118841684 + expected$covM1$Item14[5, ] -0.039628494 -0.081431316 0.014375751 -0.0222475584 0.05966125 -0.0118841686 - actual$covM1$Item14[6, ] 0.023042114 0.002277039 -0.039180064 0.0003227620 -0.01188417 0.0188360951 + expected$covM1$Item14[6, ] 0.023042114 0.002277039 -0.039180069 0.0003227622 -0.01188417 0.0188360969 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item16[1, ] 0.069536957 -0.0024262552 -0.0355827337 -7.366823e-03 -0.018663109 1.334985e-02 + expected$covM1$Item16[1, ] 0.069536906 -0.0024262422 -0.0355826899 -7.366816e-03 -0.018663099 1.334982e-02 - actual$covM1$Item16[2, ] -0.002426255 0.1009296598 0.0010289775 2.228864e-02 -0.039825988 1.697896e-04 + expected$covM1$Item16[2, ] -0.002426242 0.1009296716 0.0010289591 2.228865e-02 -0.039825988 1.697760e-04 - actual$covM1$Item16[3, ] -0.035582734 0.0010289775 0.0702255669 2.817081e-04 0.012895186 -2.629496e-02 + expected$covM1$Item16[3, ] -0.035582690 0.0010289591 0.0702255872 2.816958e-04 0.012895183 -2.629495e-02 - actual$covM1$Item16[4, ] -0.007366823 0.0222886425 0.0002817081 6.286755e-03 -0.007522316 1.681403e-05 + expected$covM1$Item16[4, ] -0.007366816 0.0222886478 0.0002816958 6.286757e-03 -0.007522319 1.681412e-05 - actual$covM1$Item16[5, ] -0.018663109 -0.0398259879 0.0128951856 -7.522316e-03 0.022889389 -6.073955e-03 + expected$covM1$Item16[5, ] -0.018663099 -0.0398259876 0.0128951835 -7.522319e-03 0.022889382 -6.073941e-03 - actual$covM1$Item16[6, ] 0.013349846 0.0001697896 -0.0262949589 1.681403e-05 -0.006073955 1.185988e-02 + expected$covM1$Item16[6, ] 0.013349819 0.0001697760 -0.0262949466 1.681412e-05 -0.006073941 1.185987e-02 actual$covM1$Item19 vs expected$covM1$Item19 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item19[1, ] 0.08600475 -0.01146327 -0.041554943 -0.014395520 -0.017346107 0.015376747 + expected$covM1$Item19[1, ] 0.08600476 -0.01146328 -0.041554942 -0.014395521 -0.017346103 0.015376744 - actual$covM1$Item19[2, ] -0.01146327 0.11937672 0.025664932 0.034086337 -0.045215648 0.015560388 + expected$covM1$Item19[2, ] -0.01146328 0.11937670 0.025664916 0.034086320 -0.045215632 0.015560386 - actual$covM1$Item19[3, ] -0.04155494 0.02566493 0.076845737 0.008457500 0.003751187 -0.018726966 + expected$covM1$Item19[3, ] -0.04155494 0.02566492 0.076845735 0.008457492 0.003751194 -0.018726967 - actual$covM1$Item19[4, ] -0.01439552 0.03408634 0.008457500 0.012158940 -0.010916097 0.003499175 + expected$covM1$Item19[4, ] -0.01439552 0.03408632 0.008457492 0.012158931 -0.010916088 0.003499173 - actual$covM1$Item19[5, ] -0.01734611 -0.04521565 0.003751187 -0.010916097 0.024341224 -0.012245019 + expected$covM1$Item19[5, ] -0.01734610 -0.04521563 0.003751194 -0.010916088 0.024341214 -0.012245016 - actual$covM1$Item19[6, ] 0.01537675 0.01556039 -0.018726966 0.003499175 -0.012245019 0.010829280 + expected$covM1$Item19[6, ] 0.01537674 0.01556039 -0.018726967 0.003499173 -0.012245016 0.010829279 actual$covM1$Item20 vs expected$covM1$Item20 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item20[1, ] 0.107586029 -0.005731491 -0.063948026 -0.0055782962 -0.030987219 0.0241259997 + expected$covM1$Item20[1, ] 0.107586034 -0.005731479 -0.063948041 -0.0055782951 -0.030987227 0.0241260057 - actual$covM1$Item20[2, ] -0.005731491 0.156676769 -0.014016515 0.0160894907 -0.065311708 -0.0043872291 + expected$covM1$Item20[2, ] -0.005731479 0.156676760 -0.014016535 0.0160894902 -0.065311711 -0.0043872209 - actual$covM1$Item20[3, ] -0.063948026 -0.014016515 0.153541322 -0.0020230453 0.030595952 -0.0579519575 + expected$covM1$Item20[3, ] -0.063948041 -0.014016535 0.153541347 -0.0020230463 0.030595966 -0.0579519675 - actual$covM1$Item20[4, ] -0.005578296 0.016089491 -0.002023045 0.0023002720 -0.005704386 -0.0002309754 + expected$covM1$Item20[4, ] -0.005578295 0.016089490 -0.002023046 0.0023002720 -0.005704386 -0.0002309750 - actual$covM1$Item20[5, ] -0.030987219 -0.065311708 0.030595952 -0.0057043856 0.040089661 -0.0091442091 + expected$covM1$Item20[5, ] -0.030987227 -0.065311711 0.030595966 -0.0057043860 0.040089666 -0.0091442146 - actual$covM1$Item20[6, ] 0.024126000 -0.004387229 -0.057951957 -0.0002309754 -0.009144209 0.0263822957 + expected$covM1$Item20[6, ] 0.024126006 -0.004387221 -0.057951967 -0.0002309750 -0.009144215 0.0263822996 ── Failure ('test-difNLR.R:134:3'): difNLR - examples at help page ───────────── Expected `fit11` to equal `fit11_expected`. Differences: actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item13[1, ] 0.25126912 -0.089346410 -0.0221235270 0.0232188363 -0.105533787 + expected$covM1$Item13[1, ] 0.25126913 -0.089346412 -0.0221235275 0.0232188371 -0.105533790 - actual$covM1$Item13[2, ] -0.08934641 0.043589127 0.0046938528 -0.0191598192 0.038987025 + expected$covM1$Item13[2, ] -0.08934641 0.043589128 0.0046938531 -0.0191598194 0.038987026 - actual$covM1$Item13[3, ] -0.02212353 0.004693853 0.0172176106 0.0007736615 0.006188728 + expected$covM1$Item13[3, ] -0.02212353 0.004693853 0.0172176106 0.0007736615 0.006188729 actual$covM1$Item13[4, ] 0.02321884 -0.019159819 0.0007736615 0.0235615332 -0.010317708 - actual$covM1$Item13[5, ] -0.10553379 0.038987025 0.0061887284 -0.0103177077 0.045753707 + expected$covM1$Item13[5, ] -0.10553379 0.038987026 0.0061887286 -0.0103177080 0.045753708 ── Failure ('test-difNLR.R:142:3'): difNLR - examples at help page ───────────── Expected `fit13` to equal `fit13_expected`. Differences: actual$seM1$Item5 | expected$seM1$Item5 [1] 1.322534201 - 1.322534498 [1] [2] 0.431582728 - 0.431582819 [2] [3] 0.140846431 | 0.140846431 [3] [4] 0.140395643 | 0.140395643 [4] [5] 1.074186699 - 1.074186941 [5] actual$seM1$Item8 | expected$seM1$Item8 [1] 0.730251348 - 0.730251282 [1] [2] 0.206478511 - 0.206478465 [2] [3] 0.098993891 - 0.098993872 [3] [4] 0.148676710 - 0.148676713 [4] [5] 0.424514653 - 0.424514567 [5] `actual$seM1$Item9`: 0.55250211 0.18526841 0.09561754 0.10360347 0.29564975 `expected$seM1$Item9`: 0.55246653 0.18525882 0.09561658 0.10360309 0.29563246 actual$seM1$Item11 | expected$seM1$Item11 [1] 0.325599004 - 0.325598987 [1] [2] 0.143642509 - 0.143642500 [2] [3] 0.106457440 | 0.106457440 [3] [4] 0.116418337 | 0.116418337 [4] [5] 0.203939037 - 0.203939025 [5] actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item5[1, ] 1.74909671 -0.548378108 -0.012562796 0.017270675 -1.416467759 + expected$covM1$Item5[1, ] 1.74909750 -0.548378357 -0.012562800 0.017270684 -1.416468398 - actual$covM1$Item5[2, ] -0.54837811 0.186263651 -0.004388997 -0.017203484 0.450884818 + expected$covM1$Item5[2, ] -0.54837836 0.186263730 -0.004388995 -0.017203487 0.450885020 - actual$covM1$Item5[3, ] -0.01256280 -0.004388997 0.019837717 0.009468767 0.001859731 + expected$covM1$Item5[3, ] -0.01256280 -0.004388995 0.019837717 0.009468767 0.001859734 - actual$covM1$Item5[4, ] 0.01727068 -0.017203484 0.009468767 0.019710937 -0.018236294 + expected$covM1$Item5[4, ] 0.01727068 -0.017203487 0.009468767 0.019710937 -0.018236302 - actual$covM1$Item5[5, ] -1.41646776 0.450884818 0.001859731 -0.018236294 1.153877065 + expected$covM1$Item5[5, ] -1.41646840 0.450885020 0.001859734 -0.018236302 1.153877585 actual$covM1$Item8 vs expected$covM1$Item8 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item8[1, ] 0.533267032 -0.140070238 0.0032524017 -0.0759137666 -0.308653218 + expected$covM1$Item8[1, ] 0.533266935 -0.140070190 0.0032522779 -0.0759137634 -0.308653128 - actual$covM1$Item8[2, ] -0.140070238 0.042633375 -0.0026951353 0.0148389829 0.082131213 + expected$covM1$Item8[2, ] -0.140070190 0.042633357 -0.0026951021 0.0148389789 0.082131176 - actual$covM1$Item8[3, ] 0.003252402 -0.002695135 0.0097997904 0.0004640690 -0.004603230 + expected$covM1$Item8[3, ] 0.003252278 -0.002695102 0.0097997867 0.0004640864 -0.004603157 - actual$covM1$Item8[4, ] -0.075913767 0.014838983 0.0004640690 0.0221047640 0.043974903 + expected$covM1$Item8[4, ] -0.075913763 0.014838979 0.0004640864 0.0221047650 0.043974896 - actual$covM1$Item8[5, ] -0.308653218 0.082131213 -0.0046032297 0.0439749031 0.180212690 + expected$covM1$Item8[5, ] -0.308653128 0.082131176 -0.0046031569 0.0439748964 0.180212618 actual$covM1$Item9 vs expected$covM1$Item9 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item9[1, ] 0.30525858 -0.093032991 -0.0109444470 0.0103571724 -0.162131078 + expected$covM1$Item9[1, ] 0.30521926 -0.093021165 -0.0109397238 0.0103553681 -0.162110996 - actual$covM1$Item9[2, ] -0.09303299 0.034324385 0.0015497219 -0.0086258092 0.050396087 + expected$covM1$Item9[2, ] -0.09302117 0.034320832 0.0015482627 -0.0086252624 0.050390059 - actual$covM1$Item9[3, ] -0.01094445 0.001549722 0.0091427141 0.0006446767 0.003459223 + expected$covM1$Item9[3, ] -0.01093972 0.001548263 0.0091425304 0.0006448540 0.003456701 - actual$covM1$Item9[4, ] 0.01035717 -0.008625809 0.0006446767 0.0107336796 -0.005823558 + expected$covM1$Item9[4, ] 0.01035537 -0.008625262 0.0006448540 0.0107336005 -0.005822626 - actual$covM1$Item9[5, ] -0.16213108 0.050396087 0.0034592235 -0.0058235584 0.087408777 + expected$covM1$Item9[5, ] -0.16211100 0.050390059 0.0034567009 -0.0058226256 0.087398553 actual$covM1$Item11 vs expected$covM1$Item11 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item11[1, ] 0.106014712 -0.035099245 -0.004175992 -0.004813213 -0.064548340 + expected$covM1$Item11[1, ] 0.106014700 -0.035099239 -0.004175992 -0.004813214 -0.064548332 - actual$covM1$Item11[2, ] -0.035099245 0.020633170 -0.002436880 -0.005922076 0.023791486 + expected$covM1$Item11[2, ] -0.035099239 0.020633168 -0.002436879 -0.005922076 0.023791483 - actual$covM1$Item11[3, ] -0.004175992 -0.002436880 0.011333186 0.003230759 -0.001070505 + expected$covM1$Item11[3, ] -0.004175992 -0.002436879 0.011333186 0.003230759 -0.001070505 - actual$covM1$Item11[4, ] -0.004813213 -0.005922076 0.003230759 0.013553229 0.001925740 + expected$covM1$Item11[4, ] -0.004813214 -0.005922076 0.003230759 0.013553229 0.001925740 - actual$covM1$Item11[5, ] -0.064548340 0.023791486 -0.001070505 0.001925740 0.041591131 + expected$covM1$Item11[5, ] -0.064548332 0.023791483 -0.001070505 0.001925740 0.041591126 ── Failure ('test-difNLR.R:377:3'): testing paper code - R Journal 2020 - generated data ── Expected `fit1` to equal `fit1_expected`. Differences: actual$nlrPAR[[1]] | expected$nlrPAR[[1]] [1] -1.919268840 - -1.919268809 [1] [2] 1.483505545 - 1.483505528 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.048786386 - 0.048786382 [5] [6] 0.000000000 | 0.000000000 [6] [7] 1.000000000 | 1.000000000 [7] [8] 0.000000000 | 0.000000000 [8] actual$nlrPAR[[15]] | expected$nlrPAR[[15]] [1] 0.49475938 - 0.49475871 [1] [2] 0.87505639 - 0.87505601 [2] [3] -0.26048375 - -0.26048229 [3] [4] 0.20497607 - 0.20497701 [4] [5] 0.00000000 | 0.00000000 [5] [6] 0.00000000 | 0.00000000 [6] [7] 0.94485732 - 0.94485751 [7] [8] -0.14246026 - -0.14246067 [8] actual$nlrSE[[1]] | expected$nlrSE[[1]] [1] 0.306678421 - 0.306678419 [1] [2] 0.384450300 - 0.384450339 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.036074443 - 0.036074445 [5] [6] 0.000000000 | 0.000000000 [6] [7] 0.187373494 - 0.187373509 [7] [8] 0.000000000 | 0.000000000 [8] actual$nlrSE[[15]] | expected$nlrSE[[15]] [1] 0.728175092 - 0.728175304 [1] [2] 0.848810046 - 0.848810111 [2] [3] 0.908598676 - 0.908598925 [3] [4] 1.146434153 - 1.146434270 [4] [5] 0.608242074 - 0.608242329 [5] [6] 0.669353204 - 0.669353421 [6] [7] 0.247191318 - 0.247191623 [7] [8] 0.304365128 - 0.304365254 [8] `actual$parM0$Item1`: -1.919268840 1.483505545 0.048786386 1.000000000 `expected$parM0$Item1`: -1.919268809 1.483505528 0.048786382 1.000000000 `actual$seM0$Item1`: 0.306678421 0.384450300 0.036074443 0.187373494 `expected$seM0$Item1`: 0.306678419 0.384450339 0.036074445 0.187373509 actual$covM0$Item1 vs expected$covM0$Item1 [,1] [,2] [,3] [,4] - actual$covM0$Item1[1, ] 0.0940516537 -0.06062457 -0.008213436 0.0005695563 + expected$covM0$Item1[1, ] 0.0940516524 -0.06062458 -0.008213436 0.0005695592 - actual$covM0$Item1[2, ] -0.0606245684 0.14780203 0.011029921 -0.0600486799 + expected$covM0$Item1[2, ] -0.0606245756 0.14780206 0.011029924 -0.0600486926 - actual$covM0$Item1[3, ] -0.0082134355 0.01102992 0.001301365 -0.0036034236 + expected$covM0$Item1[3, ] -0.0082134359 0.01102992 0.001301366 -0.0036034245 - actual$covM0$Item1[4, ] 0.0005695563 -0.06004868 -0.003603424 0.0351088262 + expected$covM0$Item1[4, ] 0.0005695592 -0.06004869 -0.003603425 0.0351088318 actual$parM1$Item14 | expected$parM1$Item14 [1] -1.471012394 - -1.471012289 [1] [2] 0.803250578 - 0.803250529 [2] [3] -0.839079694 - -0.839079901 [3] [4] 0.722644561 - 0.722644675 [4] [5] 0.094230558 - 0.094230542 [5] [6] 0.085507754 - 0.085507776 [6] [7] 1.000000000 | 1.000000000 [7] [8] 0.000000000 | 0.000000000 [8] actual$parM1$Item15 | expected$parM1$Item15 [1] 0.49475938 - 0.49475871 [1] [2] 0.87505639 - 0.87505601 [2] [3] -0.26048375 - -0.26048229 [3] [4] 0.20497607 - 0.20497701 [4] [5] 0.00000000 | 0.00000000 [5] [6] 0.00000000 | 0.00000000 [6] [7] 0.94485732 - 0.94485751 [7] [8] -0.14246026 - -0.14246067 [8] actual$seM1$Item3 | expected$seM1$Item3 [1] 0.440195514 - 0.440195511 [1] [2] 0.541812273 - 0.541812298 [2] [3] 0.680132585 - 0.680132551 [3] [4] 0.771896585 - 0.771896611 [4] [5] 0.052217411 - 0.052217412 [5] [6] 0.061351682 | 0.061351682 [6] [7] 0.451801090 - 0.451801105 [7] [8] 0.581465169 - 0.581465199 [8] actual$seM1$Item10 | expected$seM1$Item10 [1] 0.351055523 - 0.351055765 [1] [2] 0.581606548 - 0.581607061 [2] [3] 0.516361714 - 0.516361846 [3] [4] 0.823666984 - 0.823667368 [4] [5] 0.206605973 - 0.206606165 [5] [6] 0.343638938 - 0.343639068 [6] [7] 0.085395167 - 0.085395124 [7] [8] 0.123584937 - 0.123584904 [8] actual$seM1$Item14 | expected$seM1$Item14 [1] 1.135840676 - 1.135840611 [1] [2] 1.064084100 - 1.064083985 [2] [3] 1.315513227 - 1.315513180 [3] [4] 1.305080069 - 1.305079870 [4] [5] 0.190543276 - 0.190543296 [5] [6] 0.196815617 - 0.196815632 [6] [7] 1.344016238 - 1.344016126 [7] [8] 1.388639952 - 1.388639765 [8] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.728175092 - 0.728175304 [1] [2] 0.848810046 - 0.848810111 [2] [3] 0.908598676 - 0.908598925 [3] [4] 1.146434153 - 1.146434270 [4] [5] 0.608242074 - 0.608242329 [5] [6] 0.669353204 - 0.669353421 [6] [7] 0.247191318 - 0.247191623 [7] [8] 0.304365128 - 0.304365254 [8] actual$covM1$Item3 vs expected$covM1$Item3 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item3[1, ] 0.19377209 -0.05648306 -0.19377209 0.05648306 -0.012481388 0.012481388 -0.04274783 0.04274783 + expected$covM1$Item3[1, ] 0.19377209 -0.05648306 -0.19377209 0.05648307 -0.012481388 0.012481389 -0.04274783 0.04274783 - actual$covM1$Item3[2, ] -0.05648306 0.29356054 0.05648307 -0.29356054 0.024052291 -0.024052292 -0.21619775 0.21619775 + expected$covM1$Item3[2, ] -0.05648306 0.29356057 0.05648305 -0.29356057 0.024052293 -0.024052293 -0.21619777 0.21619777 - actual$covM1$Item3[3, ] -0.19377209 0.05648307 0.46258033 -0.22687774 0.012481389 -0.024789302 0.04274783 -0.02494488 + expected$covM1$Item3[3, ] -0.19377209 0.05648305 0.46258029 -0.22687769 0.012481387 -0.024789299 0.04274784 -0.02494490 - actual$covM1$Item3[4, ] 0.05648306 -0.29356054 -0.22687774 0.59582434 -0.024052292 0.037360618 0.21619775 -0.38386280 + expected$covM1$Item3[4, ] 0.05648307 -0.29356057 -0.22687769 0.59582438 -0.024052293 0.037360619 0.21619777 -0.38386284 actual$covM1$Item3[5, ] -0.01248139 0.02405229 0.01248139 -0.02405229 0.002726658 -0.002726658 -0.01500150 0.01500150 - actual$covM1$Item3[6, ] 0.01248139 -0.02405229 -0.02478930 0.03736062 -0.002726658 0.003764029 0.01500150 -0.02091491 + expected$covM1$Item3[6, ] 0.01248139 -0.02405229 -0.02478930 0.03736062 -0.002726658 0.003764029 0.01500150 -0.02091492 - actual$covM1$Item3[7, ] -0.04274783 -0.21619775 0.04274783 0.21619775 -0.015001496 0.015001497 0.20412422 -0.20412422 + expected$covM1$Item3[7, ] -0.04274783 -0.21619777 0.04274784 0.21619777 -0.015001498 0.015001498 0.20412424 -0.20412424 - actual$covM1$Item3[8, ] 0.04274783 0.21619775 -0.02494488 -0.38386280 0.015001496 -0.020914914 -0.20412422 0.33810174 + expected$covM1$Item3[8, ] 0.04274783 0.21619777 -0.02494490 -0.38386284 0.015001498 -0.020914916 -0.20412424 0.33810178 actual$covM1$Item7 vs expected$covM1$Item7 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item7[1, ] 0.614823639 0.2293663 -0.614823638 -0.2293664 0.008075105 -0.008075124 -0.4970702 0.4970703 + expected$covM1$Item7[1, ] 0.614823642 0.2293663 -0.614823640 -0.2293664 0.008075103 -0.008075122 -0.4970702 0.4970702 - actual$covM1$Item7[2, ] 0.229366293 0.6755151 -0.229366295 -0.6755153 0.138826692 -0.138826727 -0.7547800 0.7547802 + expected$covM1$Item7[2, ] 0.229366283 0.6755151 -0.229366285 -0.6755153 0.138826691 -0.138826726 -0.7547800 0.7547801 - actual$covM1$Item7[3, ] -0.614823638 -0.2293663 0.862653820 0.2374453 -0.008075106 -0.011701539 0.4970702 -0.5971977 + expected$covM1$Item7[3, ] -0.614823640 -0.2293663 0.862653823 0.2374453 -0.008075104 -0.011701541 0.4970702 -0.5971977 - actual$covM1$Item7[4, ] -0.229366393 -0.6755153 0.237445350 1.0457479 -0.138826729 0.209479827 0.7547802 -1.0250926 + expected$covM1$Item7[4, ] -0.229366382 -0.6755153 0.237445339 1.0457479 -0.138826728 0.209479826 0.7547802 -1.0250926 - actual$covM1$Item7[5, ] 0.008075105 0.1388267 -0.008075106 -0.1388267 0.032677591 -0.032677598 -0.1403355 0.1403355 + expected$covM1$Item7[5, ] 0.008075103 0.1388267 -0.008075104 -0.1388267 0.032677591 -0.032677598 -0.1403355 0.1403355 - actual$covM1$Item7[6, ] -0.008075124 -0.1388267 -0.011701539 0.2094798 -0.032677598 0.049087804 0.1403356 -0.1855377 + expected$covM1$Item7[6, ] -0.008075122 -0.1388267 -0.011701541 0.2094798 -0.032677598 0.049087804 0.1403356 -0.1855377 - actual$covM1$Item7[7, ] -0.497070165 -0.7547800 0.497070166 0.7547802 -0.140335510 0.140335552 0.9612905 -0.9612907 + expected$covM1$Item7[7, ] -0.497070156 -0.7547800 0.497070157 0.7547802 -0.140335508 0.140335550 0.9612905 -0.9612907 - actual$covM1$Item7[8, ] 0.497070258 0.7547802 -0.597197718 -1.0250926 0.140335539 -0.185537699 -0.9612907 1.2003877 + expected$covM1$Item7[8, ] 0.497070250 0.7547801 -0.597197709 -1.0250926 0.140335537 -0.185537697 -0.9612907 1.2003877 actual$covM1$Item10 vs expected$covM1$Item10 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item10[1, ] 0.123239980 0.004514857 -0.123239997 -0.004514854 -0.03078667 0.03078668 -0.013233328 0.013233328 + expected$covM1$Item10[1, ] 0.123240150 0.004514483 -0.123240156 -0.004514475 -0.03078682 0.03078682 -0.013233311 0.013233312 - actual$covM1$Item10[2, ] 0.004514857 0.338266177 -0.004514783 -0.338266080 0.10337086 -0.10337084 -0.040320605 0.040320587 + expected$covM1$Item10[2, ] 0.004514483 0.338266774 -0.004514401 -0.338266690 0.10337108 -0.10337107 -0.040320596 0.040320576 - actual$covM1$Item10[3, ] -0.123239997 -0.004514783 0.266629420 -0.003080303 0.03078670 -0.07613315 0.013233321 -0.026303372 + expected$covM1$Item10[3, ] -0.123240156 -0.004514401 0.266629556 -0.003080710 0.03078685 -0.07613330 0.013233302 -0.026303354 - actual$covM1$Item10[4, ] -0.004514854 -0.338266080 -0.003080303 0.678427300 -0.10337083 0.24605872 0.040320593 -0.083396058 + expected$covM1$Item10[4, ] -0.004514475 -0.338266690 -0.003080710 0.678427933 -0.10337106 0.24605896 0.040320585 -0.083396045 - actual$covM1$Item10[5, ] -0.030786674 0.103370863 0.030786701 -0.103370833 0.04268603 -0.04268602 -0.010016374 0.010016368 + expected$covM1$Item10[5, ] -0.030786821 0.103371082 0.030786848 -0.103371059 0.04268611 -0.04268610 -0.010016368 0.010016361 - actual$covM1$Item10[6, ] 0.030786679 -0.103370841 -0.076133149 0.246058717 -0.04268602 0.11808772 0.010016371 -0.025064191 + expected$covM1$Item10[6, ] 0.030786824 -0.103371068 -0.076133298 0.246058961 -0.04268610 0.11808781 0.010016366 -0.025064184 - actual$covM1$Item10[7, ] -0.013233328 -0.040320605 0.013233321 0.040320593 -0.01001637 0.01001637 0.007292335 -0.007292332 + expected$covM1$Item10[7, ] -0.013233311 -0.040320596 0.013233302 0.040320585 -0.01001637 0.01001637 0.007292327 -0.007292325 - actual$covM1$Item10[8, ] 0.013233328 0.040320587 -0.026303372 -0.083396058 0.01001637 -0.02506419 -0.007292332 0.015273237 + expected$covM1$Item10[8, ] 0.013233312 0.040320576 -0.026303354 -0.083396045 0.01001636 -0.02506418 -0.007292325 0.015273228 actual$covM1$Item14 vs expected$covM1$Item14 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item14[1, ] 1.29013404 0.5768089 -1.29013406 -0.5768090 0.04202915 -0.04202915 -1.1245255 1.1245256 + expected$covM1$Item14[1, ] 1.29013389 0.5768087 -1.29013390 -0.5768087 0.04202913 -0.04202913 -1.1245253 1.1245253 - actual$covM1$Item14[2, ] 0.57680893 1.1322750 -0.57680896 -1.1322750 0.18988948 -0.18988948 -1.3451776 1.3451777 + expected$covM1$Item14[2, ] 0.57680872 1.1322747 -0.57680876 -1.1322746 0.18988948 -0.18988948 -1.3451774 1.3451773 - actual$covM1$Item14[3, ] -1.29013406 -0.5768090 1.73057505 0.2906895 -0.04202916 0.01751355 1.1245256 -1.1126828 + expected$covM1$Item14[3, ] -1.29013390 -0.5768088 1.73057493 0.2906891 -0.04202914 0.01751352 1.1245253 -1.1126825 - actual$covM1$Item14[4, ] -0.57680897 -1.1322750 0.29068952 1.7032340 -0.18988949 0.21828317 1.3451777 -1.5619911 + expected$covM1$Item14[4, ] -0.57680865 -1.1322746 0.29068913 1.7032335 -0.18988947 0.21828314 1.3451772 -1.5619906 - actual$covM1$Item14[5, ] 0.04202915 0.1898895 -0.04202916 -0.1898895 0.03630674 -0.03630674 -0.2049982 0.2049982 + expected$covM1$Item14[5, ] 0.04202913 0.1898895 -0.04202914 -0.1898895 0.03630675 -0.03630675 -0.2049982 0.2049982 - actual$covM1$Item14[6, ] -0.04202915 -0.1898895 0.01751355 0.2182832 -0.03630674 0.03873639 0.2049982 -0.2135040 + expected$covM1$Item14[6, ] -0.04202913 -0.1898895 0.01751352 0.2182831 -0.03630675 0.03873639 0.2049982 -0.2135040 - actual$covM1$Item14[7, ] -1.12452553 -1.3451776 1.12452558 1.3451777 -0.20499822 0.20499822 1.8063796 -1.8063797 + expected$covM1$Item14[7, ] -1.12452529 -1.3451774 1.12452534 1.3451772 -0.20499822 0.20499821 1.8063793 -1.8063793 - actual$covM1$Item14[8, ] 1.12452556 1.3451777 -1.11268281 -1.5619911 0.20499822 -0.21350402 -1.8063797 1.9283209 + expected$covM1$Item14[8, ] 1.12452525 1.3451773 -1.11268248 -1.5619906 0.20499821 -0.21350400 -1.8063793 1.9283204 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item15[1, ] 0.53023897 -0.2644581 -0.530238888 0.2644581 -0.3092353 0.3092353 0.01617559 -0.016175610 + expected$covM1$Item15[1, ] 0.53023927 -0.2644582 -0.530239287 0.2644583 -0.3092356 0.3092356 0.01617564 -0.016175658 - actual$covM1$Item15[2, ] -0.26445808 0.7204785 0.264458013 -0.7204785 0.4833455 -0.4833455 -0.19288761 0.192887623 + expected$covM1$Item15[2, ] -0.26445820 0.7204786 0.264458183 -0.7204786 0.4833458 -0.4833458 -0.19288788 0.192887899 - actual$covM1$Item15[3, ] -0.53023889 0.2644580 0.825551555 -0.3536824 0.3092353 -0.3924074 -0.01617558 -0.002780452 + expected$covM1$Item15[3, ] -0.53023929 0.2644582 0.825552007 -0.3536826 0.3092355 -0.3924076 -0.01617563 -0.002780406 - actual$covM1$Item15[4, ] 0.26445811 -0.7204785 -0.353682443 1.3143113 -0.4833455 0.6797859 0.19288760 -0.313304948 + expected$covM1$Item15[4, ] 0.26445825 -0.7204786 -0.353682554 1.3143115 -0.4833458 0.6797861 0.19288787 -0.313305071 - actual$covM1$Item15[5, ] -0.30923534 0.4833455 0.309235279 -0.4833455 0.3699584 -0.3699584 -0.11567040 0.115670409 + expected$covM1$Item15[5, ] -0.30923555 0.4833458 0.309235547 -0.4833458 0.3699587 -0.3699587 -0.11567060 0.115670621 - actual$covM1$Item15[6, ] 0.30923533 -0.4833455 -0.392407368 0.6797859 -0.3699584 0.4480337 0.11567039 -0.150130266 + expected$covM1$Item15[6, ] 0.30923557 -0.4833458 -0.392407610 0.6797861 -0.3699587 0.4480340 0.11567061 -0.150130417 - actual$covM1$Item15[7, ] 0.01617559 -0.1928876 -0.016175581 0.1928876 -0.1156704 0.1156704 0.06110355 -0.061103549 + expected$covM1$Item15[7, ] 0.01617564 -0.1928879 -0.016175634 0.1928879 -0.1156706 0.1156706 0.06110370 -0.061103703 - actual$covM1$Item15[8, ] -0.01617561 0.1928876 -0.002780452 -0.3133049 0.1156704 -0.1501303 -0.06110355 0.092638131 + expected$covM1$Item15[8, ] -0.01617566 0.1928879 -0.002780406 -0.3133051 0.1156706 -0.1501304 -0.06110370 0.092638208 ── Failure ('test-difNLR.R:627:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `fit12b` to equal `fit12b_expected`. Differences: actual$nlrPAR[[8]] | expected$nlrPAR[[8]] [1] -1.473002929 - -1.473002943 [1] [2] 1.651804345 - 1.651803928 [2] [3] -0.848182294 - -0.848182273 [3] [4] -0.360238142 - -0.360237731 [4] [5] 0.038413515 - 0.038413500 [5] [6] -0.038413515 - -0.038413500 [6] [7] 0.595815199 - 0.595815294 [7] [8] 0.075980853 - 0.075980758 [8] actual$nlrSE[[8]] | expected$nlrSE[[8]] [1] 0.808569956 - 0.808569903 [1] [2] 1.178169245 - 1.178169081 [2] [3] 1.279002730 - 1.279002650 [3] [4] 1.615576373 - 1.615576221 [4] [5] 0.073752562 - 0.073752582 [5] [6] 0.098389886 - 0.098389898 [6] [7] 0.239957143 - 0.239957276 [7] [8] 0.629422768 - 0.629422823 [8] `actual$parM0$Item3`: -2.675261061 1.244052278 0.012796029 1.000000000 `expected$parM0$Item3`: -2.675261125 1.244052309 0.012796033 1.000000000 `actual$seM0$Item3`: 0.614646256 0.667965478 0.044831991 0.751300809 `expected$seM0$Item3`: 0.614646232 0.667965449 0.044831989 0.751300770 `actual$seM0$Item11`: 0.563259467 0.797881387 0.586945683 0.068677472 `expected$seM0$Item11`: 0.563259429 0.797881417 0.586945703 0.068677471 actual$covM0$Item3 vs expected$covM0$Item3 [,1] [,2] [,3] [,4] - actual$covM0$Item3[1, ] 0.37779002 -0.03882075 -0.011412620 -0.16276770 + expected$covM0$Item3[1, ] 0.37778999 -0.03882075 -0.011412619 -0.16276770 - actual$covM0$Item3[2, ] -0.03882075 0.44617788 0.025013290 -0.44524259 + expected$covM0$Item3[2, ] -0.03882075 0.44617784 0.025013287 -0.44524254 - actual$covM0$Item3[3, ] -0.01141262 0.02501329 0.002009907 -0.02115141 + expected$covM0$Item3[3, ] -0.01141262 0.02501329 0.002009907 -0.02115140 - actual$covM0$Item3[4, ] -0.16276770 -0.44524259 -0.021151406 0.56445290 + expected$covM0$Item3[4, ] -0.16276770 -0.44524254 -0.021151403 0.56445285 actual$covM0$Item11 vs expected$covM0$Item11 [,1] [,2] [,3] [,4] - actual$covM0$Item11[1, ] 0.31726123 -0.05669515 -0.16785082 -0.011100733 + expected$covM0$Item11[1, ] 0.31726118 -0.05669517 -0.16785082 -0.011100729 - actual$covM0$Item11[2, ] -0.05669515 0.63661471 0.42438104 -0.044653974 + expected$covM0$Item11[2, ] -0.05669517 0.63661475 0.42438108 -0.044653976 - actual$covM0$Item11[3, ] -0.16785082 0.42438104 0.34450524 -0.024960115 + expected$covM0$Item11[3, ] -0.16785082 0.42438108 0.34450526 -0.024960118 - actual$covM0$Item11[4, ] -0.01110073 -0.04465397 -0.02496011 0.004716595 + expected$covM0$Item11[4, ] -0.01110073 -0.04465398 -0.02496012 0.004716595 actual$parM1$Item1 | expected$parM1$Item1 [1] -1.189848991 - -1.189848984 [1] [2] 1.145283434 - 1.145283431 [2] [3] -0.817141498 - -0.817141592 [3] [4] 0.723674493 - 0.723674568 [4] [5] 0.000000000 | 0.000000000 [5] [6] 0.062796987 - 0.062796995 [6] [7] 1.000000000 | 1.000000000 [7] [8] 0.000000000 | 0.000000000 [8] actual$parM1$Item4 | expected$parM1$Item4 [1] -1.567209923 - -1.567209311 [1] [2] 1.903818995 - 1.903817654 [2] [3] 1.011419581 - 1.011419036 [3] [4] -0.062105562 - -0.062104333 [4] [5] 0.112839514 - 0.112839428 [5] [6] -0.112839514 - -0.112839428 [6] [7] 0.971993138 - 0.971993376 [7] [8] -0.036729069 - -0.036729310 [8] actual$parM1$Item8 | expected$parM1$Item8 [1] -1.473002929 - -1.473002943 [1] [2] 1.651804345 - 1.651803928 [2] [3] -0.848182294 - -0.848182273 [3] [4] -0.360238142 - -0.360237731 [4] [5] 0.038413515 - 0.038413500 [5] [6] -0.038413515 - -0.038413500 [6] [7] 0.595815199 - 0.595815294 [7] [8] 0.075980853 - 0.075980758 [8] actual$seM1$Item1 | expected$seM1$Item1 [1] 0.670888292 - 0.670888296 [1] [2] 0.914399661 - 0.914399690 [2] [3] 0.919702014 - 0.919702008 [3] [4] 1.205226878 - 1.205226952 [4] [5] 0.162430339 - 0.162430342 [5] [6] 0.173488584 - 0.173488588 [6] [7] 0.587907036 - 0.587907052 [7] [8] 0.631979686 - 0.631979699 [8] actual$seM1$Item4 | expected$seM1$Item4 [1] 0.642819527 - 0.642819304 [1] [2] 0.961230077 - 0.961229614 [2] [3] 0.762108561 - 0.762108396 [3] [4] 1.213841240 - 1.213840174 [4] [5] 0.078494417 - 0.078494480 [5] [6] 0.125287868 - 0.125287890 [6] [7] 0.234655852 - 0.234656108 [7] [8] 0.271485350 - 0.271485545 [8] actual$seM1$Item8 | expected$seM1$Item8 [1] 0.808569956 - 0.808569903 [1] [2] 1.178169245 - 1.178169081 [2] [3] 1.279002730 - 1.279002650 [3] [4] 1.615576373 - 1.615576221 [4] [5] 0.073752562 - 0.073752582 [5] [6] 0.098389886 - 0.098389898 [6] [7] 0.239957143 - 0.239957276 [7] [8] 0.629422768 - 0.629422823 [8] actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item1[1, ] 0.45009110 -0.04294095 -0.45009111 0.04294097 -0.04683519 0.04683519 -0.13218541 0.13218540 + expected$covM1$Item1[1, ] 0.45009111 -0.04294095 -0.45009110 0.04294095 -0.04683519 0.04683519 -0.13218541 0.13218541 - actual$covM1$Item1[2, ] -0.04294095 0.83612674 0.04294093 -0.83612674 0.13124319 -0.13124319 -0.48351911 0.48351911 + expected$covM1$Item1[2, ] -0.04294095 0.83612679 0.04294097 -0.83612682 0.13124320 -0.13124320 -0.48351914 0.48351914 - actual$covM1$Item1[3, ] -0.45009111 0.04294093 0.84585180 -0.38087451 0.04683519 -0.07680061 0.13218542 -0.11288995 + expected$covM1$Item1[3, ] -0.45009110 0.04294097 0.84585178 -0.38087457 0.04683519 -0.07680061 0.13218540 -0.11288993 - actual$covM1$Item1[4, ] 0.04294097 -0.83612674 -0.38087451 1.45257183 -0.13124319 0.16413812 0.48351911 -0.62169505 + expected$covM1$Item1[4, ] 0.04294095 -0.83612682 -0.38087457 1.45257200 -0.13124320 0.16413813 0.48351916 -0.62169511 - actual$covM1$Item1[5, ] -0.04683519 0.13124319 0.04683519 -0.13124319 0.02638361 -0.02638361 -0.06496814 0.06496814 + expected$covM1$Item1[5, ] -0.04683519 0.13124320 0.04683519 -0.13124320 0.02638362 -0.02638362 -0.06496814 0.06496814 - actual$covM1$Item1[6, ] 0.04683519 -0.13124319 -0.07680061 0.16413812 -0.02638361 0.03009829 0.06496814 -0.07041179 + expected$covM1$Item1[6, ] 0.04683519 -0.13124320 -0.07680061 0.16413813 -0.02638362 0.03009829 0.06496814 -0.07041180 - actual$covM1$Item1[7, ] -0.13218541 -0.48351911 0.13218542 0.48351911 -0.06496814 0.06496814 0.34563468 -0.34563468 + expected$covM1$Item1[7, ] -0.13218541 -0.48351914 0.13218540 0.48351916 -0.06496814 0.06496814 0.34563470 -0.34563470 - actual$covM1$Item1[8, ] 0.13218540 0.48351911 -0.11288995 -0.62169505 0.06496814 -0.07041179 -0.34563468 0.39939832 + expected$covM1$Item1[8, ] 0.13218541 0.48351914 -0.11288993 -0.62169511 0.06496814 -0.07041180 -0.34563470 0.39939834 actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item4[1, ] 0.413216944 -0.35539902 -0.413216941 0.35539899 -0.039550690 0.039550686 0.008273772 -0.008273776 + expected$covM1$Item4[1, ] 0.413216657 -0.35539845 -0.413216667 0.35539821 -0.039550703 0.039550689 0.008273723 -0.008273715 - actual$covM1$Item4[2, ] -0.355399016 0.92396326 0.355398995 -0.92396316 0.056609039 -0.056609025 -0.179534054 0.179534064 + expected$covM1$Item4[2, ] -0.355398450 0.92396237 0.355398486 -0.92396174 0.056609075 -0.056609036 -0.179534198 0.179534178 - actual$covM1$Item4[3, ] -0.413216941 0.35539900 0.580809459 -0.45634154 0.039550690 -0.066430525 -0.008273767 -0.004042090 + expected$covM1$Item4[3, ] -0.413216667 0.35539849 0.580809207 -0.45634078 0.039550705 -0.066430533 -0.008273730 -0.004042139 - actual$covM1$Item4[4, ] 0.355398986 -0.92396316 -0.456341540 1.47341056 -0.056609033 0.111534391 0.179534031 -0.255284750 + expected$covM1$Item4[4, ] 0.355398213 -0.92396174 -0.456340783 1.47340797 -0.056609036 0.111534329 0.179534074 -0.255284706 - actual$covM1$Item4[5, ] -0.039550690 0.05660904 0.039550690 -0.05660903 0.006161374 -0.006161373 -0.008446771 0.008446772 + expected$covM1$Item4[5, ] -0.039550703 0.05660907 0.039550705 -0.05660904 0.006161383 -0.006161381 -0.008446793 0.008446792 - actual$covM1$Item4[6, ] 0.039550686 -0.05660903 -0.066430525 0.11153439 -0.006161373 0.015697050 0.008446769 -0.014274250 + expected$covM1$Item4[6, ] 0.039550689 -0.05660904 -0.066430533 0.11153433 -0.006161381 0.015697055 0.008446786 -0.014274262 - actual$covM1$Item4[7, ] 0.008273772 -0.17953405 -0.008273767 0.17953403 -0.008446771 0.008446769 0.055063369 -0.055063371 + expected$covM1$Item4[7, ] 0.008273723 -0.17953420 -0.008273730 0.17953407 -0.008446793 0.008446786 0.055063489 -0.055063485 - actual$covM1$Item4[8, ] -0.008273776 0.17953406 -0.004042090 -0.25528475 0.008446772 -0.014274250 -0.055063371 0.073704295 + expected$covM1$Item4[8, ] -0.008273715 0.17953418 -0.004042139 -0.25528471 0.008446792 -0.014274262 -0.055063485 0.073704401 actual$covM1$Item8 vs expected$covM1$Item8 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item8[1, ] 0.653785373 -0.44925205 -0.653785394 0.44925206 -0.044383938 0.044383939 -0.005709065 0.005709062 + expected$covM1$Item8[1, ] 0.653785288 -0.44925180 -0.653785274 0.44925181 -0.044383941 0.044383942 -0.005709095 0.005709083 - actual$covM1$Item8[2, ] -0.449252053 1.38808277 0.449252097 -1.38808280 0.068811546 -0.068811549 -0.234050242 0.234050264 + expected$covM1$Item8[2, ] -0.449251797 1.38808238 0.449251736 -1.38808240 0.068811560 -0.068811561 -0.234050353 0.234050386 - actual$covM1$Item8[3, ] -0.653785394 0.44925210 1.635847984 -0.89312052 0.044383940 -0.087214992 0.005709058 -0.055455606 + expected$covM1$Item8[3, ] -0.653785274 0.44925174 1.635847779 -0.89312006 0.044383938 -0.087214985 0.005709106 -0.055455691 - actual$covM1$Item8[4, ] 0.449252059 -1.38808280 -0.893120524 2.61008702 -0.068811547 0.126921855 0.234050248 -0.784526730 + expected$covM1$Item8[4, ] 0.449251805 -1.38808240 -0.893120064 2.61008653 -0.068811561 0.126921862 0.234050355 -0.784526835 - actual$covM1$Item8[5, ] -0.044383938 0.06881155 0.044383940 -0.06881155 0.005439440 -0.005439441 -0.009165172 0.009165173 + expected$covM1$Item8[5, ] -0.044383941 0.06881156 0.044383938 -0.06881156 0.005439443 -0.005439443 -0.009165181 0.009165183 - actual$covM1$Item8[6, ] 0.044383939 -0.06881155 -0.087214992 0.12692186 -0.005439441 0.009680570 0.009165173 -0.030676575 + expected$covM1$Item8[6, ] 0.044383942 -0.06881156 -0.087214985 0.12692186 -0.005439443 0.009680572 0.009165181 -0.030676583 - actual$covM1$Item8[7, ] -0.005709065 -0.23405024 0.005709058 0.23405025 -0.009165172 0.009165173 0.057579431 -0.057579435 + expected$covM1$Item8[7, ] -0.005709095 -0.23405035 0.005709106 0.23405035 -0.009165181 0.009165181 0.057579494 -0.057579500 - actual$covM1$Item8[8, ] 0.005709062 0.23405026 -0.055455606 -0.78452673 0.009165173 -0.030676575 -0.057579435 0.396173021 + expected$covM1$Item8[8, ] 0.005709083 0.23405039 -0.055455691 -0.78452683 0.009165183 -0.030676583 -0.057579500 0.396173090 ── Failure ('test-difORD.R:14:3'): difORD - examples at help page ────────────── Expected `fit1` to equal `fit1_expected`. Differences: actual$ordPAR$R24 | expected$ordPAR$R24 [1] 0.067726993 - 0.067726984 [1] [2] -1.295691816 - -1.295691792 [2] [3] -3.713274816 - -3.713274756 [3] [4] -5.405622049 - -5.405621944 [4] [5] 1.824596604 - 1.824596577 [5] actual$parM0$R24 | expected$parM0$R24 [1] 0.067726993 - 0.067726984 [1] [2] -1.295691816 - -1.295691792 [2] [3] -3.713274816 - -3.713274756 [3] [4] -5.405622049 - -5.405621944 [4] [5] 1.824596604 - 1.824596577 [5] actual$parM1$R5 | expected$parM1$R5 [1] -1.893765319 - -1.893765389 [1] [2] -1.392489884 - -1.392490077 [2] [3] -4.199838848 - -4.199839090 [3] [4] -4.752433837 - -4.752434170 [4] [5] 1.577181608 - 1.577181728 [5] [6] 0.126040241 - 0.126040306 [6] [7] -0.147234071 - -0.147234119 [7] actual$parM1$R17 | expected$parM1$R17 [1] -2.859095215 - -2.859095114 [1] [2] -4.474701323 - -4.474701157 [2] [3] -6.617934018 - -6.617933791 [3] [4] -7.683710538 - -7.683710147 [4] [5] 1.973534320 - 1.973534245 [5] [6] 0.391732910 - 0.391732843 [6] [7] -0.103073650 - -0.103073618 [7] ── Failure ('test-difORD.R:49:3'): difORD - examples at help page ────────────── Expected `fit2` to equal `fit2_expected`. Differences: actual$ordPAR$R24 | expected$ordPAR$R24 [1] 0.067726993 - 0.067726984 [1] [2] -1.295691816 - -1.295691792 [2] [3] -3.713274816 - -3.713274756 [3] [4] -5.405622049 - -5.405621944 [4] [5] 1.824596604 - 1.824596577 [5] actual$parM0$R24 | expected$parM0$R24 [1] 0.067726993 - 0.067726984 [1] [2] -1.295691816 - -1.295691792 [2] [3] -3.713274816 - -3.713274756 [3] [4] -5.405622049 - -5.405621944 [4] [5] 1.824596604 - 1.824596577 [5] actual$parM1$R5 | expected$parM1$R5 [1] -1.893765319 - -1.893765389 [1] [2] -1.392489884 - -1.392490077 [2] [3] -4.199838848 - -4.199839090 [3] [4] -4.752433837 - -4.752434170 [4] [5] 1.577181608 - 1.577181728 [5] [6] 0.126040241 - 0.126040306 [6] [7] -0.147234071 - -0.147234119 [7] actual$parM1$R17 | expected$parM1$R17 [1] -2.859095215 - -2.859095114 [1] [2] -4.474701323 - -4.474701157 [2] [3] -6.617934018 - -6.617933791 [3] [4] -7.683710538 - -7.683710147 [4] [5] 1.973534320 - 1.973534245 [5] [6] 0.391732910 - 0.391732843 [6] [7] -0.103073650 - -0.103073618 [7] ── Failure ('test-difORD.R:55:3'): difORD - examples at help page ────────────── Expected `fit3` to equal `fit3_expected`. Differences: actual$parM1$R28 | expected$parM1$R28 [1] 0.412218785 - 0.412218766 [1] [2] -0.482838864 - -0.482838851 [2] [3] -3.206750000 - -3.206749935 [3] [4] -6.095092281 - -6.095092076 [4] [5] 1.949128977 - 1.949128942 [5] [6] 0.220172658 - 0.220172657 [6] [7] -0.108002478 - -0.108002479 [7] ── Failure ('test-difORD.R:61:3'): difORD - examples at help page ────────────── Expected `fit4` to equal `fit4_expected`. Differences: actual$ordPAR$R24 | expected$ordPAR$R24 [1] 0.067726993 - 0.067726984 [1] [2] -1.295691816 - -1.295691792 [2] [3] -3.713274816 - -3.713274756 [3] [4] -5.405622049 - -5.405621944 [4] [5] 1.824596604 - 1.824596577 [5] actual$parM0$R24 | expected$parM0$R24 [1] 0.067726993 - 0.067726984 [1] [2] -1.295691816 - -1.295691792 [2] [3] -3.713274816 - -3.713274756 [3] [4] -5.405622049 - -5.405621944 [4] [5] 1.824596604 - 1.824596577 [5] ── Failure ('test-difORD.R:67:3'): difORD - examples at help page ────────────── Expected `fit5` to equal `fit5_expected`. Differences: actual$parM1$R5 | expected$parM1$R5 [1] -1.893765319 - -1.893765389 [1] [2] -1.392489884 - -1.392490077 [2] [3] -4.199838848 - -4.199839090 [3] [4] -4.752433837 - -4.752434170 [4] [5] 1.577181608 - 1.577181728 [5] [6] 0.126040241 - 0.126040306 [6] [7] -0.147234071 - -0.147234119 [7] actual$parM1$R17 | expected$parM1$R17 [1] -2.859095215 - -2.859095114 [1] [2] -4.474701323 - -4.474701157 [2] [3] -6.617934018 - -6.617933791 [3] [4] -7.683710538 - -7.683710147 [4] [5] 1.973534320 - 1.973534245 [5] [6] 0.391732910 - 0.391732843 [6] [7] -0.103073650 - -0.103073618 [7] ── Failure ('test-difORD.R:73:3'): difORD - examples at help page ────────────── Expected `fit6` to equal `fit6_expected`. Differences: actual$ordPAR$R28 | expected$ordPAR$R28 [1] -4.121246755 - -4.121246690 [1] [2] -4.950121086 - -4.950120991 [2] [3] -7.704178990 - -7.704178841 [3] [4] -10.667119450 - -10.667119165 [4] [5] 0.093639175 - 0.093639173 [5] actual$parM0$R20 | expected$parM0$R20 [1] -5.683252711 - -5.683253024 [1] [2] -6.437898816 - -6.437899279 [2] [3] -8.982539929 - -8.982540492 [3] [4] -10.651801297 - -10.651801994 [4] [5] 0.091752686 - 0.091752692 [5] actual$parM0$R28 | expected$parM0$R28 [1] -4.121246755 - -4.121246690 [1] [2] -4.950121086 - -4.950120991 [2] [3] -7.704178990 - -7.704178841 [3] [4] -10.667119450 - -10.667119165 [4] [5] 0.093639175 - 0.093639173 [5] [ FAIL 23 | WARN 1 | SKIP 16 | PASS 319 ] Deleting unused snapshots: 'difNLR/plot-fit1-gen.svg', 'difNLR/plot-fit2-gen.svg', and 'difNLR/plot-stat-gen.svg' Error: ! Test failures. Execution halted Flavor: r-patched-linux-x86_64

Version: 1.5.1-4
Check: tests
Result: ERROR Running ‘testthat.R’ [245s/316s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(difNLR) > > test_check("difNLR") Saving _problems/test-difNLR-14.R Saving _problems/test-difNLR-27.R Saving _problems/test-difNLR-30.R Saving _problems/test-difNLR-33.R Saving _problems/test-difNLR-67.R Saving _problems/test-difNLR-74.R Saving _problems/test-difNLR-82.R Saving _problems/test-difNLR-90.R Saving _problems/test-difNLR-98.R Saving _problems/test-difNLR-105.R Saving _problems/test-difNLR-112.R Saving _problems/test-difNLR-118.R Saving _problems/test-difNLR-125.R Saving _problems/test-difNLR-134.R Saving _problems/test-difNLR-142.R Saving _problems/test-difNLR-377.R $Item6H_6 Trying to recalculate starting values based on bootstrapped samples... The recalculation of starting values was successful. Saving _problems/test-difNLR-627.R $Item5 $Item5 $Item5 $Item5 Saving _problems/test-difORD-14.R Saving _problems/test-difORD-49.R Saving _problems/test-difORD-55.R Saving _problems/test-difORD-61.R Saving _problems/test-difORD-67.R Saving _problems/test-difORD-73.R [ FAIL 23 | WARN 1 | SKIP 16 | PASS 319 ] ══ Skipped tests (16) ══════════════════════════════════════════════════════════ • On CRAN (16): 'test-ddfMLR.R:1:1', 'test-ddfMLR.R:178:1', 'test-ddfMLR.R:209:1', 'test-difNLR.R:1:1', 'test-difNLR.R:306:1', 'test-difNLR.R:323:1', 'test-difNLR.R:534:1', 'test-difNLR.R:577:1', 'test-difORD.R:1:1', 'test-difORD.R:198:1', 'test-difORD.R:238:1', 'test-estimNLR.R:1:1', 'test-genNLR.R:1:1', 'test-genNLR.R:97:1', 'test-startNLR.R:1:1', 'test-startNLR.R:59:1' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-difNLR.R:14:3'): difNLR - examples at help page ────────────── Expected `fit1` to equal `fit1_expected`. Differences: actual$nlrPAR[[8]] | expected$nlrPAR[[8]] [1] 0.126421690 - 0.126421840 [1] [2] 0.821916864 - 0.821916793 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.188560897 - 0.188560839 [5] actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -0.534038569 - -0.534038548 [1] [2] 1.013003039 - 1.013003027 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.029234301 - 0.029234295 [5] actual$nlrSE[[8]] | expected$nlrSE[[8]] [1] 0.343040215 - 0.343040109 [1] [2] 0.169509293 - 0.169509153 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.131168793 - 0.131168755 [5] actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.211057550 - 0.211057621 [1] [2] 0.135836648 - 0.135836674 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.061792800 - 0.061792815 [5] `actual$parM0$Item2`: -0.03058685 1.06428058 0.15099716 `expected$parM0$Item2`: -0.03058735 1.06428087 0.15099733 `actual$parM0$Item8`: 0.126421690 0.821916864 0.188560897 `expected$parM0$Item8`: 0.126421840 0.821916793 0.188560839 `actual$parM0$Item18`: -0.534038569 1.013003039 0.029234301 `expected$parM0$Item18`: -0.534038548 1.013003027 0.029234295 `actual$seM0$Item2`: 0.227735222 0.159226517 0.078461058 `expected$seM0$Item2`: 0.227735124 0.159226423 0.078460978 `actual$seM0$Item8`: 0.343040215 0.169509293 0.131168793 `expected$seM0$Item8`: 0.343040109 0.169509153 0.131168755 `actual$seM0$Item18`: 0.211057550 0.135836648 0.061792800 `expected$seM0$Item18`: 0.211057621 0.135836674 0.061792815 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.05186333 -0.03021743 -0.017273062 + expected$covM0$Item2[1, ] 0.05186329 -0.03021739 -0.017273036 - actual$covM0$Item2[2, ] -0.03021743 0.02535308 0.010717985 + expected$covM0$Item2[2, ] -0.03021739 0.02535305 0.010717964 - actual$covM0$Item2[3, ] -0.01727306 0.01071799 0.006156138 + expected$covM0$Item2[3, ] -0.01727304 0.01071796 0.006156125 actual$covM0$Item8 vs expected$covM0$Item8 [,1] [,2] [,3] - actual$covM0$Item8[1, ] 0.11767659 -0.05143602 -0.04434402 + expected$covM0$Item8[1, ] 0.11767652 -0.05143595 -0.04434399 - actual$covM0$Item8[2, ] -0.05143602 0.02873340 0.02007202 + expected$covM0$Item8[2, ] -0.05143595 0.02873335 0.02007199 - actual$covM0$Item8[3, ] -0.04434402 0.02007202 0.01720525 + expected$covM0$Item8[3, ] -0.04434399 0.02007199 0.01720524 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] actual$covM0$Item12[1, ] 0.09424373 -0.04727163 -0.025621089 - actual$covM0$Item12[2, ] -0.04727163 0.03036815 0.013120782 + expected$covM0$Item12[2, ] -0.04727163 0.03036815 0.013120783 actual$covM0$Item12[3, ] -0.02562109 0.01312078 0.007285343 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] - actual$covM0$Item18[1, ] 0.04454529 -0.025026748 -0.012609287 + expected$covM0$Item18[1, ] 0.04454532 -0.025026763 -0.012609295 - actual$covM0$Item18[2, ] -0.02502675 0.018451595 0.007195376 + expected$covM0$Item18[2, ] -0.02502676 0.018451602 0.007195379 - actual$covM0$Item18[3, ] -0.01260929 0.007195376 0.003818350 + expected$covM0$Item18[3, ] -0.01260929 0.007195379 0.003818352 actual$parM1$Item16 | expected$parM1$Item16 [1] -0.508151611 - -0.508151559 [1] [2] 1.100651976 - 1.100651988 [2] [3] 0.029151096 - 0.029150994 [3] [4] -0.052590851 - -0.052590882 [4] [5] 0.073900244 - 0.073900243 [5] actual$seM1$Item4 | expected$seM1$Item4 [1] 0.897540624 - 0.897540525 [1] [2] 0.181507894 - 0.181507878 [2] [3] 0.137200404 - 0.137200380 [3] [4] 0.123750967 - 0.123750957 [4] [5] 0.683551339 - 0.683551268 [5] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.479733456 - 0.479733216 [1] [2] 0.176905109 - 0.176905028 [2] [3] 0.096186780 - 0.096186799 [3] [4] 0.110288350 - 0.110288371 [4] [5] 0.226535938 - 0.226535796 [5] actual$seM1$Item16 | expected$seM1$Item16 [1] 0.220720963 - 0.220720949 [1] [2] 0.168408323 - 0.168408322 [2] [3] 0.114789154 - 0.114789215 [3] [4] 0.154145713 - 0.154145671 [4] [5] 0.059226682 - 0.059226681 [5] actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item4[1, ] 0.80557917 -0.142048112 -0.048403540 -0.020625834 -0.61089172 + expected$covM1$Item4[1, ] 0.80557899 -0.142048080 -0.048403512 -0.020625812 -0.61089159 - actual$covM1$Item4[2, ] -0.14204811 0.032945116 0.004242145 -0.003338457 0.11118230 + expected$covM1$Item4[2, ] -0.14204808 0.032945110 0.004242140 -0.003338460 0.11118227 - actual$covM1$Item4[3, ] -0.04840354 0.004242145 0.018823951 0.009679530 0.03176359 + expected$covM1$Item4[3, ] -0.04840351 0.004242140 0.018823944 0.009679526 0.03176357 - actual$covM1$Item4[4, ] -0.02062583 -0.003338457 0.009679530 0.015314302 0.01323938 + expected$covM1$Item4[4, ] -0.02062581 -0.003338460 0.009679526 0.015314299 0.01323936 - actual$covM1$Item4[5, ] -0.61089172 0.111182295 0.031763587 0.013239378 0.46724243 + expected$covM1$Item4[5, ] -0.61089159 0.111182271 0.031763567 0.013239362 0.46724234 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item15[1, ] 0.23014419 -0.075673598 -0.0164225626 0.0142602206 -0.107645624 + expected$covM1$Item15[1, ] 0.23014396 -0.075673516 -0.0164225838 0.0142602480 -0.107645501 - actual$covM1$Item15[2, ] -0.07567360 0.031295417 0.0039230077 -0.0106777284 0.036138771 + expected$covM1$Item15[2, ] -0.07567352 0.031295389 0.0039230145 -0.0106777372 0.036138728 - actual$covM1$Item15[3, ] -0.01642256 0.003923008 0.0092518967 -0.0003337938 0.005756856 + expected$covM1$Item15[3, ] -0.01642258 0.003923014 0.0092519002 -0.0003337978 0.005756865 - actual$covM1$Item15[4, ] 0.01426022 -0.010677728 -0.0003337938 0.0121635202 -0.006860811 + expected$covM1$Item15[4, ] 0.01426025 -0.010677737 -0.0003337978 0.0121635248 -0.006860823 - actual$covM1$Item15[5, ] -0.10764562 0.036138771 0.0057568560 -0.0068608112 0.051318531 + expected$covM1$Item15[5, ] -0.10764550 0.036138728 0.0057568649 -0.0068608232 0.051318467 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item16[1, ] 0.048717744 -0.029002734 -0.0078734670 0.0048213840 -0.0121378318 + expected$covM1$Item16[1, ] 0.048717737 -0.029002731 -0.0078734692 0.0048213806 -0.0121378308 - actual$covM1$Item16[2, ] -0.029002734 0.028361363 0.0037418245 -0.0134059539 0.0075068703 + expected$covM1$Item16[2, ] -0.029002731 0.028361363 0.0037418255 -0.0134059510 0.0075068701 - actual$covM1$Item16[3, ] -0.007873467 0.003741824 0.0131765499 -0.0057301894 0.0003339497 + expected$covM1$Item16[3, ] -0.007873469 0.003741825 0.0131765640 -0.0057301861 0.0003339493 - actual$covM1$Item16[4, ] 0.004821384 -0.013405954 -0.0057301894 0.0237609010 -0.0005185267 + expected$covM1$Item16[4, ] 0.004821381 -0.013405951 -0.0057301861 0.0237608880 -0.0005185269 - actual$covM1$Item16[5, ] -0.012137832 0.007506870 0.0003339497 -0.0005185267 0.0035077998 + expected$covM1$Item16[5, ] -0.012137831 0.007506870 0.0003339493 -0.0005185269 0.0035077997 ── Failure ('test-difNLR.R:27:3'): difNLR - examples at help page ────────────── Expected `coef(fit1)` to equal `fit1_coef1_expected`. Differences: actual$Item8 vs expected$Item8 [,1] [,2] [,3] - actual$Item8[1, ] 0.8219169 -0.1538132 0.18856090 + expected$Item8[1, ] 0.8219168 -0.1538134 0.18856084 - actual$Item8[2, ] 0.4896848 -1.0273139 -0.06852521 + expected$Item8[2, ] 0.4896850 -1.0273139 -0.06852520 - actual$Item8[3, ] 1.1541490 0.7196874 0.44564701 + expected$Item8[3, ] 1.1541486 0.7196870 0.44564688 actual$Item18 vs expected$Item18 [,1] [,2] [,3] actual$Item18[1, ] 1.0130030 0.5271836 0.02923430 - actual$Item18[2, ] 0.7467681 0.2319369 -0.09187736 + expected$Item18[2, ] 0.7467680 0.2319368 -0.09187740 - actual$Item18[3, ] 1.2792380 0.8224302 0.15034596 + expected$Item18[3, ] 1.2792380 0.8224303 0.15034599 ── Failure ('test-difNLR.R:30:3'): difNLR - examples at help page ────────────── Expected `coef(fit1, SE = TRUE)` to equal `fit1_coef2_expected`. Differences: actual$Item8 vs expected$Item8 [,1] [,2] [,3] - actual$Item8[1, ] 0.8219169 -0.1538132 0.18856090 + expected$Item8[1, ] 0.8219168 -0.1538134 0.18856084 - actual$Item8[2, ] 0.1695093 0.4456718 0.13116879 + expected$Item8[2, ] 0.1695092 0.4456717 0.13116876 - actual$Item8[3, ] 0.4896848 -1.0273139 -0.06852521 + expected$Item8[3, ] 0.4896850 -1.0273139 -0.06852520 - actual$Item8[4, ] 1.1541490 0.7196874 0.44564701 + expected$Item8[4, ] 1.1541486 0.7196870 0.44564688 actual$Item18 vs expected$Item18 [,1] [,2] [,3] actual$Item18[1, ] 1.0130030 0.5271836 0.02923430 - actual$Item18[2, ] 0.1358366 0.1506388 0.06179280 + expected$Item18[2, ] 0.1358367 0.1506389 0.06179281 - actual$Item18[3, ] 0.7467681 0.2319369 -0.09187736 + expected$Item18[3, ] 0.7467680 0.2319368 -0.09187740 - actual$Item18[4, ] 1.2792380 0.8224302 0.15034596 + expected$Item18[4, ] 1.2792380 0.8224303 0.15034599 ── Failure ('test-difNLR.R:33:3'): difNLR - examples at help page ────────────── Expected `coef(fit1, SE = TRUE, simplify = TRUE)` to equal `fit1_coef3_expected`. Differences: actual vs expected a b c actual[26, ] 0.1809697 0.83289393 0.27959452 actual[27, ] 0.3651398 -2.40962136 -0.54799520 actual[28, ] 1.0745281 0.85526284 0.54799520 - actual[29, ] 0.8219169 -0.15381323 0.18856090 + expected[29, ] 0.8219168 -0.15381343 0.18856084 - actual[30, ] 0.1695093 0.44567177 0.13116879 + expected[30, ] 0.1695092 0.44567169 0.13116876 - actual[31, ] 0.4896848 -1.02731386 -0.06852521 + expected[31, ] 0.4896850 -1.02731389 -0.06852520 - actual[32, ] 1.1541490 0.71968739 0.44564701 + expected[32, ] 1.1541486 0.71968703 0.44564688 actual[33, ] 0.6387164 -0.38314116 0.05162489 actual[34, ] 0.1603240 0.81712635 0.22952065 actual[35, ] 0.3244872 -1.98467937 -0.39822733 actual vs expected a b c actual[44, ] 1.1520042 0.06037568 0.41152338 actual[45, ] 0.8977892 0.38216524 0.20920692 actual[46, ] 0.1742646 0.27856840 0.08535422 - actual[47, ] 0.5562369 -0.16381879 0.04191573 + expected[47, ] 0.5562369 -0.16381880 0.04191572 actual[48, ] 1.2393415 0.92814928 0.37649812 actual[49, ] 0.8157721 -0.77457288 0.29437966 actual[50, ] 0.1918456 0.69590763 0.18393642 actual vs expected a b c actual[66, ] 0.1669037 0.40461315 0.11558571 actual[67, ] 0.3576462 -0.03285713 -0.11700521 actual[68, ] 1.0118965 1.55319727 0.33608245 - actual[69, ] 1.0130030 0.52718358 0.02923430 + expected[69, ] 1.0130030 0.52718357 0.02923430 - actual[70, ] 0.1358366 0.15063882 0.06179280 + expected[70, ] 0.1358367 0.15063888 0.06179281 - actual[71, ] 0.7467681 0.23193692 -0.09187736 + expected[71, ] 0.7467680 0.23193679 -0.09187740 - actual[72, ] 1.2792380 0.82243024 0.15034596 + expected[72, ] 1.2792380 0.82243034 0.15034599 actual[73, ] 1.0724564 0.32683925 0.06295113 actual[74, ] 0.1856114 0.19769855 0.07991250 actual[75, ] 0.7086647 -0.06064279 -0.09367449 actual$a | expected$a [26] 0.180969726 | 0.180969726 [26] [27] 0.365139778 | 0.365139778 [27] [28] 1.074528068 | 1.074528068 [28] [29] 0.821916864 - 0.821916793 [29] [30] 0.169509293 - 0.169509153 [30] [31] 0.489684755 - 0.489684958 [31] [32] 1.154148973 - 1.154148629 [32] [33] 0.638716386 | 0.638716386 [33] [34] 0.160323968 | 0.160323968 [34] [35] 0.324487183 | 0.324487183 [35] actual$a | expected$a [43] 0.574045716 | 0.574045716 [43] [44] 1.152004161 | 1.152004161 [44] [45] 0.897789207 | 0.897789207 [45] [46] 0.174264594 - 0.174264595 [46] [47] 0.556236880 - 0.556236876 [47] [48] 1.239341534 - 1.239341538 [48] [49] 0.815772114 | 0.815772114 [49] [50] 0.191845634 | 0.191845634 [50] [51] 0.439761580 | 0.439761580 [51] actual$a | expected$a [66] 0.166903664 | 0.166903664 [66] [67] 0.357646196 | 0.357646196 [67] [68] 1.011896538 | 1.011896538 [68] [69] 1.013003039 - 1.013003027 [69] [70] 0.135836648 - 0.135836674 [70] [71] 0.746768101 - 0.746768039 [71] [72] 1.279237976 - 1.279238015 [72] [73] 1.072456380 | 1.072456380 [73] [74] 0.185611422 | 0.185611422 [74] [75] 0.708664678 | 0.708664678 [75] actual$b | expected$b [26] 0.832893927 | 0.832893927 [26] [27] -2.409621359 | -2.409621359 [27] [28] 0.855262841 | 0.855262841 [28] [29] -0.153813233 - -0.153813428 [29] [30] 0.445671773 - 0.445671689 [30] [31] -1.027313856 - -1.027313887 [31] [32] 0.719687391 - 0.719687031 [32] [33] -0.383141158 | -0.383141158 [33] [34] 0.817126345 | 0.817126345 [34] [35] -1.984679366 | -1.984679366 [35] actual$b | expected$b [43] -1.960728585 | -1.960728585 [43] [44] 0.060375684 | 0.060375684 [44] [45] 0.382165243 | 0.382165243 [45] [46] 0.278568401 - 0.278568404 [46] [47] -0.163818790 - -0.163818797 [47] [48] 0.928149276 - 0.928149283 [48] [49] -0.774572883 | -0.774572883 [49] [50] 0.695907633 | 0.695907633 [50] [51] -2.138526780 | -2.138526780 [51] actual$b | expected$b [66] 0.404613149 | 0.404613149 [66] [67] -0.032857125 | -0.032857125 [67] [68] 1.553197273 | 1.553197273 [68] [69] 0.527183580 - 0.527183565 [69] [70] 0.150638819 - 0.150638876 [70] [71] 0.231936920 - 0.231936795 [71] [72] 0.822430240 - 0.822430336 [72] [73] 0.326839252 | 0.326839252 [73] [74] 0.197698550 | 0.197698550 [74] [75] -0.060642785 | -0.060642785 [75] actual$c | expected$c [26] 0.279594525 | 0.279594525 [26] [27] -0.547995199 | -0.547995199 [27] [28] 0.547995199 | 0.547995199 [28] [29] 0.188560897 - 0.188560839 [29] [30] 0.131168793 - 0.131168755 [30] [31] -0.068525213 - -0.068525197 [31] [32] 0.445647007 - 0.445646875 [32] [33] 0.051624886 | 0.051624886 [33] [34] 0.229520652 | 0.229520652 [34] [35] -0.398227326 | -0.398227326 [35] actual$c | expected$c [43] -0.385549911 | -0.385549911 [43] [44] 0.411523383 | 0.411523383 [44] [45] 0.209206920 | 0.209206920 [45] [46] 0.085354219 - 0.085354220 [46] [47] 0.041915725 - 0.041915723 [47] [48] 0.376498115 - 0.376498117 [48] [49] 0.294379661 | 0.294379661 [49] [50] 0.183936421 | 0.183936421 [50] [51] -0.066129098 | -0.066129098 [51] actual$c | expected$c [66] 0.115585709 | 0.115585709 [66] [67] -0.117005207 | -0.117005207 [67] [68] 0.336082448 | 0.336082448 [68] [69] 0.029234301 - 0.029234295 [69] [70] 0.061792800 - 0.061792815 [70] [71] -0.091877362 - -0.091877396 [71] [72] 0.150345965 - 0.150345987 [72] [73] 0.062951126 | 0.062951126 [73] [74] 0.079912497 | 0.079912497 [74] [75] -0.093674490 | -0.093674490 [75] ── Failure ('test-difNLR.R:67:3'): difNLR - examples at help page ────────────── Expected `fit2` to equal `fit2_expected`. Differences: actual$Sval | expected$Sval [1] 41.91446590 | 41.91446590 [1] [2] 14.73970661 | 14.73970661 [2] [3] 0.69033084 | 0.69033084 [3] [4] 2.86221711 - 2.86221791 [4] [5] 1.08904070 | 1.08904070 [5] [6] 0.15466706 | 0.15466706 [6] [7] 5.68978837 | 5.68978837 [7] actual$Sval | expected$Sval [12] 1.01430708 | 1.01430708 [12] [13] 3.85490451 | 3.85490451 [13] [14] 1.41492671 | 1.41492671 [14] [15] 1.10837744 - 1.10837665 [15] [16] 0.13939499 - 0.13939486 [16] [17] 2.56488158 | 2.56488158 [17] [18] 1.94129713 | 1.94129713 [18] [19] 4.80670067 | 4.80670067 [19] actual$nlrPAR[[8]] | expected$nlrPAR[[8]] [1] 0.126421690 - 0.126421840 [1] [2] 0.821916864 - 0.821916793 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.188560897 - 0.188560839 [5] actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -0.534038569 - -0.534038548 [1] [2] 1.013003039 - 1.013003027 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.029234301 - 0.029234295 [5] actual$nlrSE[[8]] | expected$nlrSE[[8]] [1] 0.343040215 - 0.343040109 [1] [2] 0.169509293 - 0.169509153 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.131168793 - 0.131168755 [5] actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.211057550 - 0.211057621 [1] [2] 0.135836648 - 0.135836674 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.061792800 - 0.061792815 [5] `actual$parM0$Item2`: -0.03058685 1.06428058 0.15099716 `expected$parM0$Item2`: -0.03058735 1.06428087 0.15099733 `actual$parM0$Item8`: 0.126421690 0.821916864 0.188560897 `expected$parM0$Item8`: 0.126421840 0.821916793 0.188560839 `actual$parM0$Item18`: -0.534038569 1.013003039 0.029234301 `expected$parM0$Item18`: -0.534038548 1.013003027 0.029234295 `actual$seM0$Item2`: 0.227735222 0.159226517 0.078461058 `expected$seM0$Item2`: 0.227735124 0.159226423 0.078460978 `actual$seM0$Item8`: 0.343040215 0.169509293 0.131168793 `expected$seM0$Item8`: 0.343040109 0.169509153 0.131168755 `actual$seM0$Item18`: 0.211057550 0.135836648 0.061792800 `expected$seM0$Item18`: 0.211057621 0.135836674 0.061792815 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.05186333 -0.03021743 -0.017273062 + expected$covM0$Item2[1, ] 0.05186329 -0.03021739 -0.017273036 - actual$covM0$Item2[2, ] -0.03021743 0.02535308 0.010717985 + expected$covM0$Item2[2, ] -0.03021739 0.02535305 0.010717964 - actual$covM0$Item2[3, ] -0.01727306 0.01071799 0.006156138 + expected$covM0$Item2[3, ] -0.01727304 0.01071796 0.006156125 actual$covM0$Item8 vs expected$covM0$Item8 [,1] [,2] [,3] - actual$covM0$Item8[1, ] 0.11767659 -0.05143602 -0.04434402 + expected$covM0$Item8[1, ] 0.11767652 -0.05143595 -0.04434399 - actual$covM0$Item8[2, ] -0.05143602 0.02873340 0.02007202 + expected$covM0$Item8[2, ] -0.05143595 0.02873335 0.02007199 - actual$covM0$Item8[3, ] -0.04434402 0.02007202 0.01720525 + expected$covM0$Item8[3, ] -0.04434399 0.02007199 0.01720524 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] actual$covM0$Item12[1, ] 0.09424373 -0.04727163 -0.025621089 - actual$covM0$Item12[2, ] -0.04727163 0.03036815 0.013120782 + expected$covM0$Item12[2, ] -0.04727163 0.03036815 0.013120783 actual$covM0$Item12[3, ] -0.02562109 0.01312078 0.007285343 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] - actual$covM0$Item18[1, ] 0.04454529 -0.025026748 -0.012609287 + expected$covM0$Item18[1, ] 0.04454532 -0.025026763 -0.012609295 - actual$covM0$Item18[2, ] -0.02502675 0.018451595 0.007195376 + expected$covM0$Item18[2, ] -0.02502676 0.018451602 0.007195379 - actual$covM0$Item18[3, ] -0.01260929 0.007195376 0.003818350 + expected$covM0$Item18[3, ] -0.01260929 0.007195379 0.003818352 actual$parM1$Item16 | expected$parM1$Item16 [1] -0.508151611 - -0.508151559 [1] [2] 1.100651976 - 1.100651988 [2] [3] 0.029151096 - 0.029150994 [3] [4] -0.052590851 - -0.052590882 [4] [5] 0.073900244 - 0.073900243 [5] actual$seM1$Item4 | expected$seM1$Item4 [1] 0.897540624 - 0.897540525 [1] [2] 0.181507894 - 0.181507878 [2] [3] 0.137200404 - 0.137200380 [3] [4] 0.123750967 - 0.123750957 [4] [5] 0.683551339 - 0.683551268 [5] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.479733456 - 0.479733216 [1] [2] 0.176905109 - 0.176905028 [2] [3] 0.096186780 - 0.096186799 [3] [4] 0.110288350 - 0.110288371 [4] [5] 0.226535938 - 0.226535796 [5] actual$seM1$Item16 | expected$seM1$Item16 [1] 0.220720963 - 0.220720949 [1] [2] 0.168408323 - 0.168408322 [2] [3] 0.114789154 - 0.114789215 [3] [4] 0.154145713 - 0.154145671 [4] [5] 0.059226682 - 0.059226681 [5] actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item4[1, ] 0.80557917 -0.142048112 -0.048403540 -0.020625834 -0.61089172 + expected$covM1$Item4[1, ] 0.80557899 -0.142048080 -0.048403512 -0.020625812 -0.61089159 - actual$covM1$Item4[2, ] -0.14204811 0.032945116 0.004242145 -0.003338457 0.11118230 + expected$covM1$Item4[2, ] -0.14204808 0.032945110 0.004242140 -0.003338460 0.11118227 - actual$covM1$Item4[3, ] -0.04840354 0.004242145 0.018823951 0.009679530 0.03176359 + expected$covM1$Item4[3, ] -0.04840351 0.004242140 0.018823944 0.009679526 0.03176357 - actual$covM1$Item4[4, ] -0.02062583 -0.003338457 0.009679530 0.015314302 0.01323938 + expected$covM1$Item4[4, ] -0.02062581 -0.003338460 0.009679526 0.015314299 0.01323936 - actual$covM1$Item4[5, ] -0.61089172 0.111182295 0.031763587 0.013239378 0.46724243 + expected$covM1$Item4[5, ] -0.61089159 0.111182271 0.031763567 0.013239362 0.46724234 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item15[1, ] 0.23014419 -0.075673598 -0.0164225626 0.0142602206 -0.107645624 + expected$covM1$Item15[1, ] 0.23014396 -0.075673516 -0.0164225838 0.0142602480 -0.107645501 - actual$covM1$Item15[2, ] -0.07567360 0.031295417 0.0039230077 -0.0106777284 0.036138771 + expected$covM1$Item15[2, ] -0.07567352 0.031295389 0.0039230145 -0.0106777372 0.036138728 - actual$covM1$Item15[3, ] -0.01642256 0.003923008 0.0092518967 -0.0003337938 0.005756856 + expected$covM1$Item15[3, ] -0.01642258 0.003923014 0.0092519002 -0.0003337978 0.005756865 - actual$covM1$Item15[4, ] 0.01426022 -0.010677728 -0.0003337938 0.0121635202 -0.006860811 + expected$covM1$Item15[4, ] 0.01426025 -0.010677737 -0.0003337978 0.0121635248 -0.006860823 - actual$covM1$Item15[5, ] -0.10764562 0.036138771 0.0057568560 -0.0068608112 0.051318531 + expected$covM1$Item15[5, ] -0.10764550 0.036138728 0.0057568649 -0.0068608232 0.051318467 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item16[1, ] 0.048717744 -0.029002734 -0.0078734670 0.0048213840 -0.0121378318 + expected$covM1$Item16[1, ] 0.048717737 -0.029002731 -0.0078734692 0.0048213806 -0.0121378308 - actual$covM1$Item16[2, ] -0.029002734 0.028361363 0.0037418245 -0.0134059539 0.0075068703 + expected$covM1$Item16[2, ] -0.029002731 0.028361363 0.0037418255 -0.0134059510 0.0075068701 - actual$covM1$Item16[3, ] -0.007873467 0.003741824 0.0131765499 -0.0057301894 0.0003339497 + expected$covM1$Item16[3, ] -0.007873469 0.003741825 0.0131765640 -0.0057301861 0.0003339493 - actual$covM1$Item16[4, ] 0.004821384 -0.013405954 -0.0057301894 0.0237609010 -0.0005185267 + expected$covM1$Item16[4, ] 0.004821381 -0.013405951 -0.0057301861 0.0237608880 -0.0005185269 - actual$covM1$Item16[5, ] -0.012137832 0.007506870 0.0003339497 -0.0005185267 0.0035077998 + expected$covM1$Item16[5, ] -0.012137831 0.007506870 0.0003339493 -0.0005185269 0.0035077997 actual$pval | expected$pval [1] 0.000000001 | 0.000000001 [1] [2] 0.000629961 | 0.000629961 [2] [3] 0.708103210 | 0.708103210 [3] [4] 0.239043782 - 0.239043686 [4] [5] 0.580119972 | 0.580119972 [5] [6] 0.925581095 | 0.925581095 [6] [7] 0.058140418 | 0.058140418 [7] actual$pval | expected$pval [12] 0.602207300 | 0.602207300 [12] [13] 0.145518471 | 0.145518471 [13] [14] 0.492892908 | 0.492892908 [14] [15] 0.574538182 - 0.574538409 [15] [16] 0.932675918 - 0.932675979 [16] [17] 0.277359497 | 0.277359497 [17] [18] 0.378837258 | 0.378837258 [18] [19] 0.090414527 | 0.090414527 [19] actual$adj.pval | expected$adj.pval [1] 0.000000001 | 0.000000001 [1] [2] 0.000629961 | 0.000629961 [2] [3] 0.708103210 | 0.708103210 [3] [4] 0.239043782 - 0.239043686 [4] [5] 0.580119972 | 0.580119972 [5] [6] 0.925581095 | 0.925581095 [6] [7] 0.058140418 | 0.058140418 [7] actual$adj.pval | expected$adj.pval [12] 0.602207300 | 0.602207300 [12] [13] 0.145518471 | 0.145518471 [13] [14] 0.492892908 | 0.492892908 [14] [15] 0.574538182 - 0.574538409 [15] [16] 0.932675918 - 0.932675979 [16] [17] 0.277359497 | 0.277359497 [17] [18] 0.378837258 | 0.378837258 [18] [19] 0.090414527 | 0.090414527 [19] ── Failure ('test-difNLR.R:74:3'): difNLR - examples at help page ────────────── Expected `fit3` to equal `fit3_expected`. Differences: actual$nlrPAR[[8]] | expected$nlrPAR[[8]] [1] 0.126421690 - 0.126421840 [1] [2] 0.821916864 - 0.821916793 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.188560897 - 0.188560839 [5] actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -0.534038569 - -0.534038548 [1] [2] 1.013003039 - 1.013003027 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.029234301 - 0.029234295 [5] actual$nlrSE[[8]] | expected$nlrSE[[8]] [1] 0.343040215 - 0.343040109 [1] [2] 0.169509293 - 0.169509153 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.131168793 - 0.131168755 [5] actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.211057550 - 0.211057621 [1] [2] 0.135836648 - 0.135836674 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.061792800 - 0.061792815 [5] `actual$parM0$Item2`: -0.03058685 1.06428058 0.15099716 `expected$parM0$Item2`: -0.03058735 1.06428087 0.15099733 `actual$parM0$Item8`: 0.126421690 0.821916864 0.188560897 `expected$parM0$Item8`: 0.126421840 0.821916793 0.188560839 `actual$parM0$Item18`: -0.534038569 1.013003039 0.029234301 `expected$parM0$Item18`: -0.534038548 1.013003027 0.029234295 `actual$seM0$Item2`: 0.227735222 0.159226517 0.078461058 `expected$seM0$Item2`: 0.227735124 0.159226423 0.078460978 `actual$seM0$Item8`: 0.343040215 0.169509293 0.131168793 `expected$seM0$Item8`: 0.343040109 0.169509153 0.131168755 `actual$seM0$Item18`: 0.211057550 0.135836648 0.061792800 `expected$seM0$Item18`: 0.211057621 0.135836674 0.061792815 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.05186333 -0.03021743 -0.017273062 + expected$covM0$Item2[1, ] 0.05186329 -0.03021739 -0.017273036 - actual$covM0$Item2[2, ] -0.03021743 0.02535308 0.010717985 + expected$covM0$Item2[2, ] -0.03021739 0.02535305 0.010717964 - actual$covM0$Item2[3, ] -0.01727306 0.01071799 0.006156138 + expected$covM0$Item2[3, ] -0.01727304 0.01071796 0.006156125 actual$covM0$Item8 vs expected$covM0$Item8 [,1] [,2] [,3] - actual$covM0$Item8[1, ] 0.11767659 -0.05143602 -0.04434402 + expected$covM0$Item8[1, ] 0.11767652 -0.05143595 -0.04434399 - actual$covM0$Item8[2, ] -0.05143602 0.02873340 0.02007202 + expected$covM0$Item8[2, ] -0.05143595 0.02873335 0.02007199 - actual$covM0$Item8[3, ] -0.04434402 0.02007202 0.01720525 + expected$covM0$Item8[3, ] -0.04434399 0.02007199 0.01720524 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] actual$covM0$Item12[1, ] 0.09424373 -0.04727163 -0.025621089 - actual$covM0$Item12[2, ] -0.04727163 0.03036815 0.013120782 + expected$covM0$Item12[2, ] -0.04727163 0.03036815 0.013120783 actual$covM0$Item12[3, ] -0.02562109 0.01312078 0.007285343 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] - actual$covM0$Item18[1, ] 0.04454529 -0.025026748 -0.012609287 + expected$covM0$Item18[1, ] 0.04454532 -0.025026763 -0.012609295 - actual$covM0$Item18[2, ] -0.02502675 0.018451595 0.007195376 + expected$covM0$Item18[2, ] -0.02502676 0.018451602 0.007195379 - actual$covM0$Item18[3, ] -0.01260929 0.007195376 0.003818350 + expected$covM0$Item18[3, ] -0.01260929 0.007195379 0.003818352 actual$parM1$Item16 | expected$parM1$Item16 [1] -0.508151611 - -0.508151559 [1] [2] 1.100651976 - 1.100651988 [2] [3] 0.029151096 - 0.029150994 [3] [4] -0.052590851 - -0.052590882 [4] [5] 0.073900244 - 0.073900243 [5] actual$seM1$Item4 | expected$seM1$Item4 [1] 0.897540624 - 0.897540525 [1] [2] 0.181507894 - 0.181507878 [2] [3] 0.137200404 - 0.137200380 [3] [4] 0.123750967 - 0.123750957 [4] [5] 0.683551339 - 0.683551268 [5] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.479733456 - 0.479733216 [1] [2] 0.176905109 - 0.176905028 [2] [3] 0.096186780 - 0.096186799 [3] [4] 0.110288350 - 0.110288371 [4] [5] 0.226535938 - 0.226535796 [5] actual$seM1$Item16 | expected$seM1$Item16 [1] 0.220720963 - 0.220720949 [1] [2] 0.168408323 - 0.168408322 [2] [3] 0.114789154 - 0.114789215 [3] [4] 0.154145713 - 0.154145671 [4] [5] 0.059226682 - 0.059226681 [5] actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item4[1, ] 0.80557917 -0.142048112 -0.048403540 -0.020625834 -0.61089172 + expected$covM1$Item4[1, ] 0.80557899 -0.142048080 -0.048403512 -0.020625812 -0.61089159 - actual$covM1$Item4[2, ] -0.14204811 0.032945116 0.004242145 -0.003338457 0.11118230 + expected$covM1$Item4[2, ] -0.14204808 0.032945110 0.004242140 -0.003338460 0.11118227 - actual$covM1$Item4[3, ] -0.04840354 0.004242145 0.018823951 0.009679530 0.03176359 + expected$covM1$Item4[3, ] -0.04840351 0.004242140 0.018823944 0.009679526 0.03176357 - actual$covM1$Item4[4, ] -0.02062583 -0.003338457 0.009679530 0.015314302 0.01323938 + expected$covM1$Item4[4, ] -0.02062581 -0.003338460 0.009679526 0.015314299 0.01323936 - actual$covM1$Item4[5, ] -0.61089172 0.111182295 0.031763587 0.013239378 0.46724243 + expected$covM1$Item4[5, ] -0.61089159 0.111182271 0.031763567 0.013239362 0.46724234 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item15[1, ] 0.23014419 -0.075673598 -0.0164225626 0.0142602206 -0.107645624 + expected$covM1$Item15[1, ] 0.23014396 -0.075673516 -0.0164225838 0.0142602480 -0.107645501 - actual$covM1$Item15[2, ] -0.07567360 0.031295417 0.0039230077 -0.0106777284 0.036138771 + expected$covM1$Item15[2, ] -0.07567352 0.031295389 0.0039230145 -0.0106777372 0.036138728 - actual$covM1$Item15[3, ] -0.01642256 0.003923008 0.0092518967 -0.0003337938 0.005756856 + expected$covM1$Item15[3, ] -0.01642258 0.003923014 0.0092519002 -0.0003337978 0.005756865 - actual$covM1$Item15[4, ] 0.01426022 -0.010677728 -0.0003337938 0.0121635202 -0.006860811 + expected$covM1$Item15[4, ] 0.01426025 -0.010677737 -0.0003337978 0.0121635248 -0.006860823 - actual$covM1$Item15[5, ] -0.10764562 0.036138771 0.0057568560 -0.0068608112 0.051318531 + expected$covM1$Item15[5, ] -0.10764550 0.036138728 0.0057568649 -0.0068608232 0.051318467 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item16[1, ] 0.048717744 -0.029002734 -0.0078734670 0.0048213840 -0.0121378318 + expected$covM1$Item16[1, ] 0.048717737 -0.029002731 -0.0078734692 0.0048213806 -0.0121378308 - actual$covM1$Item16[2, ] -0.029002734 0.028361363 0.0037418245 -0.0134059539 0.0075068703 + expected$covM1$Item16[2, ] -0.029002731 0.028361363 0.0037418255 -0.0134059510 0.0075068701 - actual$covM1$Item16[3, ] -0.007873467 0.003741824 0.0131765499 -0.0057301894 0.0003339497 + expected$covM1$Item16[3, ] -0.007873469 0.003741825 0.0131765640 -0.0057301861 0.0003339493 - actual$covM1$Item16[4, ] 0.004821384 -0.013405954 -0.0057301894 0.0237609010 -0.0005185267 + expected$covM1$Item16[4, ] 0.004821381 -0.013405951 -0.0057301861 0.0237608880 -0.0005185269 - actual$covM1$Item16[5, ] -0.012137832 0.007506870 0.0003339497 -0.0005185267 0.0035077998 + expected$covM1$Item16[5, ] -0.012137831 0.007506870 0.0003339493 -0.0005185269 0.0035077997 ── Failure ('test-difNLR.R:82:3'): difNLR - examples at help page ────────────── Expected `fit4` to equal `fit4_expected`. Differences: actual$nlrPAR[[8]] | expected$nlrPAR[[8]] [1] 0.126421690 - 0.126421840 [1] [2] 0.821916864 - 0.821916793 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.188560897 - 0.188560839 [5] actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -0.534038569 - -0.534038548 [1] [2] 1.013003039 - 1.013003027 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.029234301 - 0.029234295 [5] actual$nlrSE[[8]] | expected$nlrSE[[8]] [1] 0.401197762 - 0.401197856 [1] [2] 0.178215930 - 0.178215952 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.149918697 - 0.149918758 [5] `actual$parM0$Item2`: -0.03058685 1.06428058 0.15099716 `expected$parM0$Item2`: -0.03058735 1.06428087 0.15099733 `actual$parM0$Item8`: 0.126421690 0.821916864 0.188560897 `expected$parM0$Item8`: 0.126421840 0.821916793 0.188560839 `actual$parM0$Item18`: -0.534038569 1.013003039 0.029234301 `expected$parM0$Item18`: -0.534038548 1.013003027 0.029234295 `actual$seM0$Item2`: 0.201224594 0.140058483 0.067742972 `expected$seM0$Item2`: 0.201224549 0.140058472 0.067742918 `actual$seM0$Item8`: 0.401197762 0.178215930 0.149918697 `expected$seM0$Item8`: 0.401197856 0.178215952 0.149918758 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.04049134 -0.022395787 -0.013017637 + expected$covM0$Item2[1, ] 0.04049132 -0.022395776 -0.013017623 - actual$covM0$Item2[2, ] -0.02239579 0.019616379 0.007736527 + expected$covM0$Item2[2, ] -0.02239578 0.019616376 0.007736518 - actual$covM0$Item2[3, ] -0.01301764 0.007736527 0.004589110 + expected$covM0$Item2[3, ] -0.01301762 0.007736518 0.004589103 actual$covM0$Item8 vs expected$covM0$Item8 [,1] [,2] [,3] - actual$covM0$Item8[1, ] 0.16095964 -0.06601989 -0.05950329 + expected$covM0$Item8[1, ] 0.16095972 -0.06601992 -0.05950333 - actual$covM0$Item8[2, ] -0.06601989 0.03176092 0.02478046 + expected$covM0$Item8[2, ] -0.06601992 0.03176093 0.02478048 - actual$covM0$Item8[3, ] -0.05950329 0.02478046 0.02247562 + expected$covM0$Item8[3, ] -0.05950333 0.02478048 0.02247563 actual$parM1$Item16 | expected$parM1$Item16 [1] -0.508151611 - -0.508151559 [1] [2] 1.100651976 - 1.100651988 [2] [3] 0.029151096 - 0.029150994 [3] [4] -0.052590851 - -0.052590882 [4] [5] 0.073900244 - 0.073900243 [5] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.433862773 - 0.433862784 [1] [2] 0.143168315 - 0.143168318 [2] [3] 0.096666823 | 0.096666823 [3] [4] 0.093469202 | 0.093469202 [4] [5] 0.199418936 - 0.199418941 [5] actual$seM1$Item16 | expected$seM1$Item16 [1] 0.210469737 - 0.210469732 [1] [2] 0.136469436 - 0.136469438 [2] [3] 0.120126749 - 0.120126750 [3] [4] 0.136762974 - 0.136762975 [4] [5] 0.053001686 - 0.053001689 [5] actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item4[1, ] 0.81404561 -0.143623881 -0.036790370 0.012083824 -0.61299622 + expected$covM1$Item4[1, ] 0.81404560 -0.143623886 -0.036790367 0.012083838 -0.61299621 - actual$covM1$Item4[2, ] -0.14362388 0.033532974 0.003260785 -0.010009923 0.11059981 + expected$covM1$Item4[2, ] -0.14362389 0.033532976 0.003260785 -0.010009925 0.11059981 - actual$covM1$Item4[3, ] -0.03679037 0.003260785 0.016150301 0.005334551 0.02288197 + expected$covM1$Item4[3, ] -0.03679037 0.003260785 0.016150301 0.005334550 0.02288197 - actual$covM1$Item4[4, ] 0.01208382 -0.010009923 0.005334551 0.016145291 -0.01091319 + expected$covM1$Item4[4, ] 0.01208384 -0.010009925 0.005334550 0.016145291 -0.01091320 - actual$covM1$Item4[5, ] -0.61299622 0.110599810 0.022881971 -0.010913190 0.46532535 + expected$covM1$Item4[5, ] -0.61299621 0.110599813 0.022881969 -0.010913201 0.46532534 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item15[1, ] 0.188236906 -0.054552810 -0.0142410655 0.0064748047 -0.085510546 + expected$covM1$Item15[1, ] 0.188236915 -0.054552813 -0.0142410660 0.0064748053 -0.085510550 - actual$covM1$Item15[2, ] -0.054552810 0.020497166 0.0028843201 -0.0062397888 0.025359905 + expected$covM1$Item15[2, ] -0.054552813 0.020497167 0.0028843203 -0.0062397890 0.025359906 - actual$covM1$Item15[3, ] -0.014241065 0.002884320 0.0093444747 -0.0003460474 0.004556433 + expected$covM1$Item15[3, ] -0.014241066 0.002884320 0.0093444747 -0.0003460475 0.004556434 - actual$covM1$Item15[4, ] 0.006474805 -0.006239789 -0.0003460474 0.0087364918 -0.003001133 + expected$covM1$Item15[4, ] 0.006474805 -0.006239789 -0.0003460475 0.0087364918 -0.003001133 - actual$covM1$Item15[5, ] -0.085510546 0.025359905 0.0045564334 -0.0030011328 0.039767912 + expected$covM1$Item15[5, ] -0.085510550 0.025359906 0.0045564337 -0.0030011331 0.039767914 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item16[1, ] 0.044297510 -0.021564264 -0.0064130492 -0.001938253 -0.0102238774 + expected$covM1$Item16[1, ] 0.044297508 -0.021564263 -0.0064130417 -0.001938256 -0.0102238778 - actual$covM1$Item16[2, ] -0.021564264 0.018623907 0.0017297361 -0.006306357 0.0053161670 + expected$covM1$Item16[2, ] -0.021564263 0.018623907 0.0017297317 -0.006306356 0.0053161675 - actual$covM1$Item16[3, ] -0.006413049 0.001729736 0.0144304358 -0.005175775 -0.0002274551 + expected$covM1$Item16[3, ] -0.006413042 0.001729732 0.0144304360 -0.005175775 -0.0002274572 - actual$covM1$Item16[4, ] -0.001938253 -0.006306357 -0.0051757745 0.018704111 0.0011715047 + expected$covM1$Item16[4, ] -0.001938256 -0.006306356 -0.0051757752 0.018704111 0.0011715055 - actual$covM1$Item16[5, ] -0.010223877 0.005316167 -0.0002274551 0.001171505 0.0028091787 + expected$covM1$Item16[5, ] -0.010223878 0.005316167 -0.0002274572 0.001171505 0.0028091791 ── Failure ('test-difNLR.R:90:3'): difNLR - examples at help page ────────────── Expected `fit5` to equal `fit5_expected`. Differences: actual$nlrPAR[[8]] | expected$nlrPAR[[8]] [1] 0.126421690 - 0.126421840 [1] [2] 0.821916864 - 0.821916793 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.188560897 - 0.188560839 [5] actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -0.534038569 - -0.534038548 [1] [2] 1.013003039 - 1.013003027 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.029234301 - 0.029234295 [5] actual$nlrSE[[8]] | expected$nlrSE[[8]] [1] 0.343040215 - 0.343040109 [1] [2] 0.169509293 - 0.169509153 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.131168793 - 0.131168755 [5] actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.211057550 - 0.211057621 [1] [2] 0.135836648 - 0.135836674 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.061792800 - 0.061792815 [5] `actual$parM0$Item2`: -0.03058685 1.06428058 0.15099716 `expected$parM0$Item2`: -0.03058735 1.06428087 0.15099733 `actual$parM0$Item8`: 0.126421690 0.821916864 0.188560897 `expected$parM0$Item8`: 0.126421840 0.821916793 0.188560839 `actual$parM0$Item18`: -0.534038569 1.013003039 0.029234301 `expected$parM0$Item18`: -0.534038548 1.013003027 0.029234295 `actual$seM0$Item2`: 0.227735222 0.159226517 0.078461058 `expected$seM0$Item2`: 0.227735124 0.159226423 0.078460978 `actual$seM0$Item8`: 0.343040215 0.169509293 0.131168793 `expected$seM0$Item8`: 0.343040109 0.169509153 0.131168755 `actual$seM0$Item18`: 0.211057550 0.135836648 0.061792800 `expected$seM0$Item18`: 0.211057621 0.135836674 0.061792815 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.05186333 -0.03021743 -0.017273062 + expected$covM0$Item2[1, ] 0.05186329 -0.03021739 -0.017273036 - actual$covM0$Item2[2, ] -0.03021743 0.02535308 0.010717985 + expected$covM0$Item2[2, ] -0.03021739 0.02535305 0.010717964 - actual$covM0$Item2[3, ] -0.01727306 0.01071799 0.006156138 + expected$covM0$Item2[3, ] -0.01727304 0.01071796 0.006156125 actual$covM0$Item8 vs expected$covM0$Item8 [,1] [,2] [,3] - actual$covM0$Item8[1, ] 0.11767659 -0.05143602 -0.04434402 + expected$covM0$Item8[1, ] 0.11767652 -0.05143595 -0.04434399 - actual$covM0$Item8[2, ] -0.05143602 0.02873340 0.02007202 + expected$covM0$Item8[2, ] -0.05143595 0.02873335 0.02007199 - actual$covM0$Item8[3, ] -0.04434402 0.02007202 0.01720525 + expected$covM0$Item8[3, ] -0.04434399 0.02007199 0.01720524 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] actual$covM0$Item12[1, ] 0.09424373 -0.04727163 -0.025621089 - actual$covM0$Item12[2, ] -0.04727163 0.03036815 0.013120782 + expected$covM0$Item12[2, ] -0.04727163 0.03036815 0.013120783 actual$covM0$Item12[3, ] -0.02562109 0.01312078 0.007285343 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] - actual$covM0$Item18[1, ] 0.04454529 -0.025026748 -0.012609287 + expected$covM0$Item18[1, ] 0.04454532 -0.025026763 -0.012609295 - actual$covM0$Item18[2, ] -0.02502675 0.018451595 0.007195376 + expected$covM0$Item18[2, ] -0.02502676 0.018451602 0.007195379 - actual$covM0$Item18[3, ] -0.01260929 0.007195376 0.003818350 + expected$covM0$Item18[3, ] -0.01260929 0.007195379 0.003818352 actual$parM1$Item16 | expected$parM1$Item16 [1] -0.508151611 - -0.508151559 [1] [2] 1.100651976 - 1.100651988 [2] [3] 0.029151096 - 0.029150994 [3] [4] -0.052590851 - -0.052590882 [4] [5] 0.073900244 - 0.073900243 [5] actual$seM1$Item4 | expected$seM1$Item4 [1] 0.897540624 - 0.897540525 [1] [2] 0.181507894 - 0.181507878 [2] [3] 0.137200404 - 0.137200380 [3] [4] 0.123750967 - 0.123750957 [4] [5] 0.683551339 - 0.683551268 [5] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.479733456 - 0.479733216 [1] [2] 0.176905109 - 0.176905028 [2] [3] 0.096186780 - 0.096186799 [3] [4] 0.110288350 - 0.110288371 [4] [5] 0.226535938 - 0.226535796 [5] actual$seM1$Item16 | expected$seM1$Item16 [1] 0.220720963 - 0.220720949 [1] [2] 0.168408323 - 0.168408322 [2] [3] 0.114789154 - 0.114789215 [3] [4] 0.154145713 - 0.154145671 [4] [5] 0.059226682 - 0.059226681 [5] actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item4[1, ] 0.80557917 -0.142048112 -0.048403540 -0.020625834 -0.61089172 + expected$covM1$Item4[1, ] 0.80557899 -0.142048080 -0.048403512 -0.020625812 -0.61089159 - actual$covM1$Item4[2, ] -0.14204811 0.032945116 0.004242145 -0.003338457 0.11118230 + expected$covM1$Item4[2, ] -0.14204808 0.032945110 0.004242140 -0.003338460 0.11118227 - actual$covM1$Item4[3, ] -0.04840354 0.004242145 0.018823951 0.009679530 0.03176359 + expected$covM1$Item4[3, ] -0.04840351 0.004242140 0.018823944 0.009679526 0.03176357 - actual$covM1$Item4[4, ] -0.02062583 -0.003338457 0.009679530 0.015314302 0.01323938 + expected$covM1$Item4[4, ] -0.02062581 -0.003338460 0.009679526 0.015314299 0.01323936 - actual$covM1$Item4[5, ] -0.61089172 0.111182295 0.031763587 0.013239378 0.46724243 + expected$covM1$Item4[5, ] -0.61089159 0.111182271 0.031763567 0.013239362 0.46724234 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item15[1, ] 0.23014419 -0.075673598 -0.0164225626 0.0142602206 -0.107645624 + expected$covM1$Item15[1, ] 0.23014396 -0.075673516 -0.0164225838 0.0142602480 -0.107645501 - actual$covM1$Item15[2, ] -0.07567360 0.031295417 0.0039230077 -0.0106777284 0.036138771 + expected$covM1$Item15[2, ] -0.07567352 0.031295389 0.0039230145 -0.0106777372 0.036138728 - actual$covM1$Item15[3, ] -0.01642256 0.003923008 0.0092518967 -0.0003337938 0.005756856 + expected$covM1$Item15[3, ] -0.01642258 0.003923014 0.0092519002 -0.0003337978 0.005756865 - actual$covM1$Item15[4, ] 0.01426022 -0.010677728 -0.0003337938 0.0121635202 -0.006860811 + expected$covM1$Item15[4, ] 0.01426025 -0.010677737 -0.0003337978 0.0121635248 -0.006860823 - actual$covM1$Item15[5, ] -0.10764562 0.036138771 0.0057568560 -0.0068608112 0.051318531 + expected$covM1$Item15[5, ] -0.10764550 0.036138728 0.0057568649 -0.0068608232 0.051318467 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item16[1, ] 0.048717744 -0.029002734 -0.0078734670 0.0048213840 -0.0121378318 + expected$covM1$Item16[1, ] 0.048717737 -0.029002731 -0.0078734692 0.0048213806 -0.0121378308 - actual$covM1$Item16[2, ] -0.029002734 0.028361363 0.0037418245 -0.0134059539 0.0075068703 + expected$covM1$Item16[2, ] -0.029002731 0.028361363 0.0037418255 -0.0134059510 0.0075068701 - actual$covM1$Item16[3, ] -0.007873467 0.003741824 0.0131765499 -0.0057301894 0.0003339497 + expected$covM1$Item16[3, ] -0.007873469 0.003741825 0.0131765640 -0.0057301861 0.0003339493 - actual$covM1$Item16[4, ] 0.004821384 -0.013405954 -0.0057301894 0.0237609010 -0.0005185267 + expected$covM1$Item16[4, ] 0.004821381 -0.013405951 -0.0057301861 0.0237608880 -0.0005185269 - actual$covM1$Item16[5, ] -0.012137832 0.007506870 0.0003339497 -0.0005185267 0.0035077998 + expected$covM1$Item16[5, ] -0.012137831 0.007506870 0.0003339493 -0.0005185269 0.0035077997 ── Failure ('test-difNLR.R:98:3'): difNLR - examples at help page ────────────── Expected `fit6` to equal `fit6_expected`. Differences: actual$nlrPAR[[2]] | expected$nlrPAR[[2]] [1] 0.177472710 - 0.177473254 [1] [2] 0.330349777 - 0.330349701 [2] [3] -0.450899418 - -0.450899245 [3] [4] 0.431260691 - 0.431260473 [4] [5] 0.150360097 - 0.150359863 [5] actual$nlrPAR[[13]] | expected$nlrPAR[[13]] [1] 0.517161361 - 0.517161486 [1] [2] 0.880409704 - 0.880409640 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.340100107 - 0.340100060 [5] actual$nlrSE[[2]] | expected$nlrSE[[2]] [1] 0.370317544 - 0.370317782 [1] [2] 0.096151384 - 0.096151362 [2] [3] 0.175279549 - 0.175279502 [3] [4] 0.199426775 - 0.199426759 [4] [5] 0.163932678 - 0.163932877 [5] actual$nlrSE[[13]] | expected$nlrSE[[13]] [1] 0.380400043 - 0.380400034 [1] [2] 0.196782418 - 0.196782426 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.142054522 - 0.142054552 [5] actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.211097181 - 0.211097192 [1] [2] 0.130432714 - 0.130432711 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.068716094 - 0.068716096 [5] `actual$parM0$Item13`: 0.517161361 0.880409704 0.340100107 `expected$parM0$Item13`: 0.517161486 0.880409640 0.340100060 `actual$seM0$Item13`: 0.380400043 0.196782418 0.142054522 `expected$seM0$Item13`: 0.380400034 0.196782426 0.142054552 `actual$seM0$Item18`: 0.211097181 0.130432714 0.068716094 `expected$seM0$Item18`: 0.211097192 0.130432711 0.068716096 actual$covM0$Item13 vs expected$covM0$Item13 [,1] [,2] [,3] - actual$covM0$Item13[1, ] 0.14470419 -0.06411145 -0.05308457 + expected$covM0$Item13[1, ] 0.14470419 -0.06411146 -0.05308458 - actual$covM0$Item13[2, ] -0.06411145 0.03872332 0.02506125 + expected$covM0$Item13[2, ] -0.06411146 0.03872332 0.02506126 - actual$covM0$Item13[3, ] -0.05308457 0.02506125 0.02017949 + expected$covM0$Item13[3, ] -0.05308458 0.02506126 0.02017950 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] - actual$covM0$Item18[1, ] 0.04456202 -0.024053316 -0.014090872 + expected$covM0$Item18[1, ] 0.04456202 -0.024053317 -0.014090873 - actual$covM0$Item18[2, ] -0.02405332 0.017012693 0.007756721 + expected$covM0$Item18[2, ] -0.02405332 0.017012692 0.007756721 actual$covM0$Item18[3, ] -0.01409087 0.007756721 0.004721902 actual$parM1$Item2 | expected$parM1$Item2 [1] 0.177472710 - 0.177473254 [1] [2] 0.330349777 - 0.330349701 [2] [3] -0.450899418 - -0.450899245 [3] [4] 0.431260691 - 0.431260473 [4] [5] 0.150360097 - 0.150359863 [5] actual$parM1$Item14 | expected$parM1$Item14 [1] -0.424718732 - -0.424718652 [1] [2] 0.930618591 - 0.930618543 [2] [3] 0.045223607 - 0.045223635 [3] [4] -0.080158239 - -0.080158236 [4] [5] 0.048109543 - 0.048109514 [5] actual$parM1$Item19 | expected$parM1$Item19 [1] -0.138452239 - -0.138453420 [1] [2] 0.991225098 - 0.991225705 [2] [3] 0.064397463 - 0.064397656 [3] [4] -0.209346522 - -0.209346606 [4] [5] 0.008790044 - 0.008790492 [5] actual$parM1$Item20 | expected$parM1$Item20 [1] -0.976893375 - -0.976893389 [1] [2] 1.117935443 - 1.117935456 [2] [3] -0.419267085 - -0.419267083 [3] [4] 0.218094706 - 0.218094691 [4] [5] 0.175380839 - 0.175380840 [5] actual$seM1$Item2 | expected$seM1$Item2 [1] 0.370317544 - 0.370317782 [1] [2] 0.096151384 - 0.096151362 [2] [3] 0.175279549 - 0.175279502 [3] [4] 0.199426775 - 0.199426759 [4] [5] 0.163932678 - 0.163932877 [5] actual$seM1$Item14 | expected$seM1$Item14 [1] 0.260152167 - 0.260152196 [1] [2] 0.167126026 - 0.167126056 [2] [3] 0.106400891 - 0.106400876 [3] [4] 0.136296588 - 0.136296582 [4] [5] 0.080290594 - 0.080290613 [5] actual$seM1$Item19 | expected$seM1$Item19 [1] 0.248830906 - 0.248831216 [1] [2] 0.169914986 - 0.169915245 [2] [3] 0.098203305 - 0.098203377 [3] [4] 0.134438082 - 0.134438188 [4] [5] 0.094481052 - 0.094481002 [5] actual$seM1$Item20 | expected$seM1$Item20 [1] 0.232092240 - 0.232092242 [1] [2] 0.184527261 - 0.184527265 [2] [3] 0.198007123 - 0.198007134 [3] [4] 0.219756190 - 0.219756197 [4] [5] 0.038219442 | 0.038219442 [5] actual$covM1$Item2 vs expected$covM1$Item2 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item2[1, ] 0.13713508 -0.020291521 0.043707157 -0.056503115 -0.059469850 + expected$covM1$Item2[1, ] 0.13713526 -0.020291533 0.043707184 -0.056503164 -0.059469963 - actual$covM1$Item2[2, ] -0.02029152 0.009245089 -0.008364506 0.002923690 0.009423516 + expected$covM1$Item2[2, ] -0.02029153 0.009245084 -0.008364505 0.002923694 0.009423526 - actual$covM1$Item2[3, ] 0.04370716 -0.008364506 0.030722920 -0.021992221 -0.022251231 + expected$covM1$Item2[3, ] 0.04370718 -0.008364505 0.030722904 -0.021992215 -0.022251254 - actual$covM1$Item2[4, ] -0.05650312 0.002923690 -0.021992221 0.039771038 0.025279332 + expected$covM1$Item2[4, ] -0.05650316 0.002923694 -0.021992215 0.039771032 0.025279367 - actual$covM1$Item2[5, ] -0.05946985 0.009423516 -0.022251231 0.025279332 0.026873923 + expected$covM1$Item2[5, ] -0.05946996 0.009423526 -0.022251254 0.025279367 0.026873988 actual$covM1$Item14 vs expected$covM1$Item14 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item14[1, ] 0.067679150 -0.035427232 -0.0088074015 0.007413740 -0.0199846925 + expected$covM1$Item14[1, ] 0.067679165 -0.035427246 -0.0088073978 0.007413743 -0.0199846997 - actual$covM1$Item14[2, ] -0.035427232 0.027931109 0.0033840722 -0.012683715 0.0108774193 + expected$covM1$Item14[2, ] -0.035427246 0.027931119 0.0033840700 -0.012683717 0.0108774251 - actual$covM1$Item14[3, ] -0.008807401 0.003384072 0.0113211496 -0.003782322 0.0009940872 + expected$covM1$Item14[3, ] -0.008807398 0.003384070 0.0113211464 -0.003782317 0.0009940865 - actual$covM1$Item14[4, ] 0.007413740 -0.012683715 -0.0037823216 0.018576760 -0.0018409430 + expected$covM1$Item14[4, ] 0.007413743 -0.012683717 -0.0037823172 0.018576758 -0.0018409446 - actual$covM1$Item14[5, ] -0.019984693 0.010877419 0.0009940872 -0.001840943 0.0064465795 + expected$covM1$Item14[5, ] -0.019984700 0.010877425 0.0009940865 -0.001840945 0.0064465825 actual$covM1$Item19 vs expected$covM1$Item19 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item19[1, ] 0.061916820 -0.033995629 -0.009297763 0.011445863 -0.022559511 + expected$covM1$Item19[1, ] 0.061916974 -0.033995739 -0.009297808 0.011445886 -0.022559528 - actual$covM1$Item19[2, ] -0.033995629 0.028871102 0.003012574 -0.015593392 0.013283449 + expected$covM1$Item19[2, ] -0.033995739 0.028871191 0.003012605 -0.015593422 0.013283466 - actual$covM1$Item19[3, ] -0.009297763 0.003012574 0.009643889 -0.001762179 0.001738452 + expected$covM1$Item19[3, ] -0.009297808 0.003012605 0.009643903 -0.001762197 0.001738464 - actual$covM1$Item19[4, ] 0.011445863 -0.015593392 -0.001762179 0.018073598 -0.004360636 + expected$covM1$Item19[4, ] 0.011445886 -0.015593422 -0.001762197 0.018073626 -0.004360635 - actual$covM1$Item19[5, ] -0.022559511 0.013283449 0.001738452 -0.004360636 0.008926669 + expected$covM1$Item19[5, ] -0.022559528 0.013283466 0.001738464 -0.004360635 0.008926660 actual$covM1$Item20 vs expected$covM1$Item20 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item20[1, ] 0.0538668081 -0.0330202700 0.0001421080 -0.0001651629 -0.007745173 + expected$covM1$Item20[1, ] 0.0538668090 -0.0330202716 0.0001421085 -0.0001651634 -0.007745174 - actual$covM1$Item20[2, ] -0.0330202700 0.0340503099 0.0004877110 -0.0140608872 0.004665347 + expected$covM1$Item20[2, ] -0.0330202716 0.0340503117 0.0004877116 -0.0140608873 0.004665347 - actual$covM1$Item20[3, ] 0.0001421080 0.0004877110 0.0392068206 -0.0286260615 -0.002440810 + expected$covM1$Item20[3, ] 0.0001421085 0.0004877116 0.0392068249 -0.0286260662 -0.002440811 - actual$covM1$Item20[4, ] -0.0001651629 -0.0140608872 -0.0286260615 0.0482927830 0.001593366 + expected$covM1$Item20[4, ] -0.0001651634 -0.0140608873 -0.0286260662 0.0482927862 0.001593366 - actual$covM1$Item20[5, ] -0.0077451735 0.0046653466 -0.0024408104 0.0015933660 0.001460726 + expected$covM1$Item20[5, ] -0.0077451736 0.0046653468 -0.0024408107 0.0015933663 0.001460726 ── Failure ('test-difNLR.R:105:3'): difNLR - examples at help page ───────────── Expected `fit7` to equal `fit7_expected`. Differences: actual$nlrPAR[[6]] | expected$nlrPAR[[6]] [1] -2.860756754 - -2.860756501 [1] [2] 0.294079146 - 0.294079133 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.061526225 - 0.061526174 [5] actual$nlrPAR[[7]] | expected$nlrPAR[[7]] [1] -2.129766181 - -2.129766291 [1] [2] 0.231768177 - 0.231768187 [2] [3] 0.491042687 - 0.491042882 [3] [4] -0.020552482 - -0.020552499 [4] [5] 0.000000000 | 0.000000000 [5] actual$nlrPAR[[14]] | expected$nlrPAR[[14]] [1] -3.761189285 - -3.761189457 [1] [2] 0.283317057 - 0.283317067 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.071987400 - 0.071987417 [5] actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -4.318486592 - -4.318486900 [1] [2] 0.326161178 - 0.326161197 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.029234264 - 0.029234292 [5] actual$nlrSE[[6]] | expected$nlrSE[[6]] [1] 0.800032077 - 0.800031842 [1] [2] 0.047732091 - 0.047732076 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.147258537 - 0.147258520 [5] actual$nlrSE[[7]] | expected$nlrSE[[7]] [1] 1.112354923 - 1.112354869 [1] [2] 0.058267614 - 0.058267613 [2] [3] 0.456091925 | 0.456091925 [3] [4] 0.039381406 - 0.039381404 [4] [5] 0.279594382 - 0.279594362 [5] actual$nlrSE[[14]] | expected$nlrSE[[14]] [1] 0.793606682 - 0.793606758 [1] [2] 0.047284327 - 0.047284332 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.079848859 - 0.079848857 [5] actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.699329966 - 0.699330191 [1] [2] 0.043735932 - 0.043735945 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.061792805 - 0.061792814 [5] `actual$parM0$Item6`: -2.860756754 0.294079146 0.061526225 `expected$parM0$Item6`: -2.860756501 0.294079133 0.061526174 `actual$parM0$Item14`: -3.761189285 0.283317057 0.071987400 `expected$parM0$Item14`: -3.761189457 0.283317067 0.071987417 `actual$parM0$Item18`: -4.318486592 0.326161178 0.029234264 `expected$parM0$Item18`: -4.318486900 0.326161197 0.029234292 `actual$seM0$Item6`: 0.800032077 0.047732091 0.147258537 `expected$seM0$Item6`: 0.800031842 0.047732076 0.147258520 `actual$seM0$Item14`: 0.793606682 0.047284327 0.079848859 `expected$seM0$Item14`: 0.793606758 0.047284332 0.079848857 `actual$seM0$Item18`: 0.699329966 0.043735932 0.061792805 `expected$seM0$Item18`: 0.699330191 0.043735945 0.061792814 actual$covM0$Item6 vs expected$covM0$Item6 [,1] [,2] [,3] - actual$covM0$Item6[1, ] 0.64005132 -0.037549103 -0.112527497 + expected$covM0$Item6[1, ] 0.64005095 -0.037549080 -0.112527448 - actual$covM0$Item6[2, ] -0.03754910 0.002278352 0.006281254 + expected$covM0$Item6[2, ] -0.03754908 0.002278351 0.006281251 - actual$covM0$Item6[3, ] -0.11252750 0.006281254 0.021685077 + expected$covM0$Item6[3, ] -0.11252745 0.006281251 0.021685072 actual$covM0$Item14 vs expected$covM0$Item14 [,1] [,2] [,3] - actual$covM0$Item14[1, ] 0.62981157 -0.037094873 -0.059352624 + expected$covM0$Item14[1, ] 0.62981169 -0.037094881 -0.059352628 - actual$covM0$Item14[2, ] -0.03709487 0.002235808 0.003335018 + expected$covM0$Item14[2, ] -0.03709488 0.002235808 0.003335019 - actual$covM0$Item14[3, ] -0.05935262 0.003335018 0.006375840 + expected$covM0$Item14[3, ] -0.05935263 0.003335019 0.006375840 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] - actual$covM0$Item18[1, ] 0.48906240 -0.030252560 -0.039490274 + expected$covM0$Item18[1, ] 0.48906272 -0.030252579 -0.039490295 - actual$covM0$Item18[2, ] -0.03025256 0.001912832 0.002316727 + expected$covM0$Item18[2, ] -0.03025258 0.001912833 0.002316728 - actual$covM0$Item18[3, ] -0.03949027 0.002316727 0.003818351 + expected$covM0$Item18[3, ] -0.03949029 0.002316728 0.003818352 actual$parM1$Item6 | expected$parM1$Item6 [1] -2.765638706 - -2.765638638 [1] [2] 0.287085848 - 0.287085835 [2] [3] -0.161355944 - -0.161356361 [3] [4] 0.012414614 - 0.012414657 [4] [5] 0.058681823 - 0.058681846 [5] actual$parM1$Item7 | expected$parM1$Item7 [1] -2.129766181 - -2.129766291 [1] [2] 0.231768177 - 0.231768187 [2] [3] 0.491042687 - 0.491042882 [3] [4] -0.020552482 - -0.020552499 [4] [5] 0.000000000 | 0.000000000 [5] actual$parM1$Item9 | expected$parM1$Item9 [1] -2.290274718 - -2.290273162 [1] [2] 0.217155694 - 0.217155620 [2] [3] 0.277064738 - 0.277064638 [3] [4] -0.021873580 - -0.021873572 [4] [5] 0.053448573 - 0.053448232 [5] actual$parM1$Item13 | expected$parM1$Item13 [1] -1.695664217 - -1.695663657 [1] [2] 0.205923033 - 0.205923013 [2] [3] -0.760493891 - -0.760493588 [3] [4] 0.085496308 - 0.085496279 [4] [5] 0.218226211 - 0.218226052 [5] actual$parM1$Item18 | expected$parM1$Item18 [1] -4.597410312 - -4.597409267 [1] [2] 0.341940607 - 0.341940538 [2] [3] 0.426500848 - 0.426500064 [3] [4] -0.023314095 - -0.023314034 [4] [5] 0.033834987 - 0.033834929 [5] actual$seM1$Item6 | expected$seM1$Item6 [1] 0.812904466 - 0.812904715 [1] [2] 0.050646083 - 0.050646097 [2] [3] 0.473809295 - 0.473809386 [3] [4] 0.042832466 - 0.042832471 [4] [5] 0.148477253 - 0.148477291 [5] actual$seM1$Item7 | expected$seM1$Item7 [1] 1.112354923 - 1.112354869 [1] [2] 0.058267614 - 0.058267613 [2] [3] 0.456091925 | 0.456091925 [3] [4] 0.039381406 - 0.039381404 [4] [5] 0.279594382 - 0.279594362 [5] actual$seM1$Item9 | expected$seM1$Item9 [1] 1.106076330 - 1.106075897 [1] [2] 0.058189935 - 0.058189893 [2] [3] 0.438636888 - 0.438636645 [3] [4] 0.037649369 - 0.037649352 [4] [5] 0.225906353 - 0.225906565 [5] actual$seM1$Item13 | expected$seM1$Item13 [1] 1.022513375 - 1.022513431 [1] [2] 0.052074429 - 0.052074427 [2] [3] 0.545490371 - 0.545490169 [3] [4] 0.051390956 - 0.051390938 [4] [5] 0.235235576 - 0.235235702 [5] actual$seM1$Item18 | expected$seM1$Item18 [1] 0.806157612 - 0.806157708 [1] [2] 0.052593311 - 0.052593315 [2] [3] 0.586538776 - 0.586538612 [3] [4] 0.046215383 - 0.046215370 [4] [5] 0.059982953 - 0.059982978 [5] actual$covM1$Item6 vs expected$covM1$Item6 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item6[1, ] 0.660813670 -0.0400030143 -0.077742030 0.0071382098 -0.1103238235 + expected$covM1$Item6[1, ] 0.660814076 -0.0400030387 -0.077741933 0.0071382021 -0.1103238931 - actual$covM1$Item6[2, ] -0.040003014 0.0025650257 0.007898242 -0.0007554418 0.0060745901 + expected$covM1$Item6[2, ] -0.040003039 0.0025650272 0.007898237 -0.0007554414 0.0060745944 - actual$covM1$Item6[3, ] -0.077742030 0.0078982417 0.224495248 -0.0198123436 -0.0061886573 + expected$covM1$Item6[3, ] -0.077741933 0.0078982366 0.224495334 -0.0198123498 -0.0061886780 - actual$covM1$Item6[4, ] 0.007138210 -0.0007554418 -0.019812344 0.0018346201 0.0004926302 + expected$covM1$Item6[4, ] 0.007138202 -0.0007554414 -0.019812350 0.0018346206 0.0004926318 - actual$covM1$Item6[5, ] -0.110323824 0.0060745901 -0.006188657 0.0004926302 0.0220454945 + expected$covM1$Item6[5, ] -0.110323893 0.0060745944 -0.006188678 0.0004926318 0.0220455059 actual$covM1$Item7 vs expected$covM1$Item7 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item7[1, ] 1.23733347 -0.063366068 -0.31469687 0.022910429 -0.300610340 + expected$covM1$Item7[1, ] 1.23733335 -0.063366063 -0.31469690 0.022910432 -0.300610303 - actual$covM1$Item7[2, ] -0.06336607 0.003395115 0.01846587 -0.001426337 0.014629230 + expected$covM1$Item7[2, ] -0.06336606 0.003395115 0.01846587 -0.001426338 0.014629229 - actual$covM1$Item7[3, ] -0.31469687 0.018465870 0.20801984 -0.017413287 0.060680842 + expected$covM1$Item7[3, ] -0.31469690 0.018465872 0.20801984 -0.017413286 0.060680849 - actual$covM1$Item7[4, ] 0.02291043 -0.001426337 -0.01741329 0.001550895 -0.004108836 + expected$covM1$Item7[4, ] 0.02291043 -0.001426338 -0.01741329 0.001550895 -0.004108837 - actual$covM1$Item7[5, ] -0.30061034 0.014629230 0.06068084 -0.004108836 0.078173019 + expected$covM1$Item7[5, ] -0.30061030 0.014629229 0.06068085 -0.004108837 0.078173007 actual$covM1$Item9 vs expected$covM1$Item9 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item9[1, ] 1.22340485 -0.062963747 -0.19961493 0.016058281 -0.239970298 + expected$covM1$Item9[1, ] 1.22340389 -0.062963675 -0.19961479 0.016058269 -0.239970432 - actual$covM1$Item9[2, ] -0.06296375 0.003386069 0.01307774 -0.001100515 0.011692984 + expected$covM1$Item9[2, ] -0.06296367 0.003386064 0.01307773 -0.001100514 0.011692985 - actual$covM1$Item9[3, ] -0.19961493 0.013077745 0.19240232 -0.016085562 0.022244323 + expected$covM1$Item9[3, ] -0.19961479 0.013077732 0.19240211 -0.016085545 0.022244344 - actual$covM1$Item9[4, ] 0.01605828 -0.001100515 -0.01608556 0.001417475 -0.001717755 + expected$covM1$Item9[4, ] 0.01605827 -0.001100514 -0.01608555 0.001417474 -0.001717757 - actual$covM1$Item9[5, ] -0.23997030 0.011692984 0.02224432 -0.001717755 0.051033680 + expected$covM1$Item9[5, ] -0.23997043 0.011692985 0.02224434 -0.001717757 0.051033776 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item13[1, ] 1.04553360 -5.082766e-02 0.0963631853 -1.078600e-02 -0.227807363 + expected$covM1$Item13[1, ] 1.04553372 -5.082766e-02 0.0963631018 -1.078600e-02 -0.227807504 - actual$covM1$Item13[2, ] -0.05082766 2.711746e-03 0.0004969759 3.961036e-06 0.010040925 + expected$covM1$Item13[2, ] -0.05082766 2.711746e-03 0.0004969787 3.960824e-06 0.010040930 - actual$covM1$Item13[3, ] 0.09636319 4.969759e-04 0.2975597447 -2.734946e-02 -0.049566222 + expected$covM1$Item13[3, ] 0.09636310 4.969787e-04 0.2975595246 -2.734944e-02 -0.049566213 - actual$covM1$Item13[4, ] -0.01078600 3.961036e-06 -0.0273494553 2.641030e-03 0.004925403 + expected$covM1$Item13[4, ] -0.01078600 3.960824e-06 -0.0273494353 2.641029e-03 0.004925402 - actual$covM1$Item13[5, ] -0.22780736 1.004092e-02 -0.0495662225 4.925403e-03 0.055335776 + expected$covM1$Item13[5, ] -0.22780750 1.004093e-02 -0.0495662131 4.925402e-03 0.055335835 actual$covM1$Item18 vs expected$covM1$Item18 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item18[1, ] 0.64989010 -0.041811549 -0.245923882 0.0182463987 -0.0410512296 + expected$covM1$Item18[1, ] 0.64989025 -0.041811557 -0.245923777 0.0182463909 -0.0410512574 - actual$covM1$Item18[2, ] -0.04181155 0.002766056 0.017856116 -0.0013686293 0.0024343619 + expected$covM1$Item18[2, ] -0.04181156 0.002766057 0.017856109 -0.0013686287 0.0024343635 - actual$covM1$Item18[3, ] -0.24592388 0.017856116 0.344027736 -0.0266760285 0.0056454178 + expected$covM1$Item18[3, ] -0.24592378 0.017856109 0.344027543 -0.0266760134 0.0056454190 - actual$covM1$Item18[4, ] 0.01824640 -0.001368629 -0.026676028 0.0021358616 -0.0003689830 + expected$covM1$Item18[4, ] 0.01824639 -0.001368629 -0.026676013 0.0021358604 -0.0003689831 - actual$covM1$Item18[5, ] -0.04105123 0.002434362 0.005645418 -0.0003689830 0.0035979546 + expected$covM1$Item18[5, ] -0.04105126 0.002434364 0.005645419 -0.0003689831 0.0035979576 ── Failure ('test-difNLR.R:112:3'): difNLR - examples at help page ───────────── Expected `fit8` to equal `fit8_expected`. Differences: actual$nlrPAR[[2]] | expected$nlrPAR[[2]] [1] 0.597985900 - 0.597985847 [1] [2] 1.156918830 - 1.156918663 [2] [3] -0.514219172 - -0.514219097 [3] [4] 0.111767616 - 0.111767570 [4] [5] 0.920269609 - 0.920269643 [5] actual$nlrSE[[2]] | expected$nlrSE[[2]] [1] 0.256279444 - 0.256279449 [1] [2] 0.335866760 - 0.335866689 [2] [3] 0.193369361 - 0.193369325 [3] [4] 0.107757106 - 0.107757121 [4] [5] 0.073776161 - 0.073776176 [5] actual$nlrSE[[7]] | expected$nlrSE[[7]] [1] 0.498615859 - 0.498615829 [1] [2] 0.446131728 - 0.446131722 [2] [3] 0.201181080 | 0.201181080 [3] [4] 0.485314866 - 0.485314861 [4] [5] 0.166305546 | 0.166305546 [5] actual$nlrSE[[20]] | expected$nlrSE[[20]] [1] 0.284859518 - 0.284859523 [1] [2] 0.399762956 - 0.399762947 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.044980133 - 0.044980132 [4] [5] 0.187248913 - 0.187248908 [5] `actual$seM0$Item20`: 0.284859518 0.399762956 0.044980133 0.187248913 `expected$seM0$Item20`: 0.284859523 0.399762947 0.044980132 0.187248908 actual$covM0$Item20 vs expected$covM0$Item20 [,1] [,2] [,3] [,4] - actual$covM0$Item20[1, ] 0.081144945 -0.01830561 -0.006659124 -0.015218388 + expected$covM0$Item20[1, ] 0.081144948 -0.01830561 -0.006659124 -0.015218388 - actual$covM0$Item20[2, ] -0.018305606 0.15981042 0.015099960 -0.065639907 + expected$covM0$Item20[2, ] -0.018305608 0.15981041 0.015099959 -0.065639903 actual$covM0$Item20[3, ] -0.006659124 0.01509996 0.002023212 -0.005189033 - actual$covM0$Item20[4, ] -0.015218388 -0.06563991 -0.005189033 0.035062155 + expected$covM0$Item20[4, ] -0.015218388 -0.06563990 -0.005189033 0.035062154 actual$parM1$Item2 | expected$parM1$Item2 [1] 0.597985900 - 0.597985847 [1] [2] 1.156918830 - 1.156918663 [2] [3] -0.514219172 - -0.514219097 [3] [4] 0.111767616 - 0.111767570 [4] [5] 0.920269609 - 0.920269643 [5] actual$parM1$Item3 | expected$parM1$Item3 [1] 1.507978797 - 1.507978832 [1] [2] 0.917941861 - 0.917941949 [2] [3] 0.075486495 - 0.075486759 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.903360998 - 0.903360977 [5] actual$parM1$Item8 | expected$parM1$Item8 [1] 0.082385659 - 0.082385051 [1] [2] 0.830626126 - 0.830626403 [2] [3] 0.046172880 - 0.046172822 [3] [4] 0.196301810 - 0.196302045 [4] [5] 1.000000000 | 1.000000000 [5] `actual$parM1$Item9`: 0.24040932 0.63539679 0.03016191 0.04631914 1.00000000 `expected$parM1$Item9`: 0.24040832 0.63539707 0.03016213 0.04631958 1.00000000 actual$parM1$Item12 | expected$parM1$Item12 [1] -0.433876993 - -0.433876975 [1] [2] 0.921956021 - 0.921956009 [2] [3] 0.099762694 - 0.099762693 [3] [4] 0.220123115 - 0.220123110 [4] [5] 1.000000000 | 1.000000000 [5] actual$parM1$Item16 | expected$parM1$Item16 [1] -0.510654562 - -0.510654210 [1] [2] 1.080508002 - 1.080507944 [2] [3] 0.015599456 - 0.015598920 [3] [4] 0.076472713 - 0.076472689 [4] [5] 1.000000000 | 1.000000000 [5] actual$parM1$Item18 | expected$parM1$Item18 [1] -0.600332460 - -0.600332436 [1] [2] 1.014631448 - 1.014631427 [2] [3] 0.134705322 - 0.134705348 [3] [4] 0.028827923 - 0.028827912 [4] [5] 1.000000000 | 1.000000000 [5] `actual$parM1$Item19`: -0.18778238 0.85453878 0.14282620 0.01274498 1.00000000 `expected$parM1$Item19`: -0.18778293 0.85453903 0.14282632 0.01274518 1.00000000 actual$parM1$Item20 | expected$parM1$Item20 [1] -1.192646663 - -1.192646644 [1] [2] 1.218708172 - 1.218708167 [2] [3] -0.193708132 - -0.193708151 [3] [4] 0.195847969 - 0.195847968 [4] [5] 1.000000000 | 1.000000000 [5] actual$seM1$Item2 | expected$seM1$Item2 [1] 0.256279444 - 0.256279449 [1] [2] 0.335866760 - 0.335866689 [2] [3] 0.193369361 - 0.193369325 [3] [4] 0.107757106 - 0.107757121 [4] [5] 0.073776161 - 0.073776176 [5] actual$seM1$Item3 | expected$seM1$Item3 [1] 0.521636660 - 0.521636597 [1] [2] 0.468280887 - 0.468280877 [2] [3] 0.139852135 - 0.139852165 [3] [4] 0.548974196 - 0.548974120 [4] [5] 0.065226156 - 0.065226143 [5] actual$seM1$Item7 | expected$seM1$Item7 [1] 0.498615859 - 0.498615829 [1] [2] 0.446131728 - 0.446131722 [2] [3] 0.201181080 | 0.201181080 [3] [4] 0.485314866 - 0.485314861 [4] [5] 0.166305546 | 0.166305546 [5] actual$seM1$Item8 | expected$seM1$Item8 [1] 0.357743238 - 0.357742983 [1] [2] 0.449173685 - 0.449173523 [2] [3] 0.120023338 - 0.120023326 [3] [4] 0.199479185 - 0.199478897 [4] [5] 0.168186212 - 0.168186104 [5] actual$seM1$Item9 | expected$seM1$Item9 [1] 0.474256177 - 0.474255764 [1] [2] 0.533609220 - 0.533608761 [2] [3] 0.101035059 - 0.101035143 [3] [4] 0.444278193 - 0.444276968 [4] [5] 0.288364865 - 0.288364587 [5] actual$seM1$Item12 | expected$seM1$Item12 [1] 0.336646938 - 0.336646944 [1] [2] 0.435268570 - 0.435268587 [2] [3] 0.136765439 - 0.136765472 [3] [4] 0.118180623 - 0.118180630 [4] [5] 0.191265456 - 0.191265468 [5] actual$seM1$Item16 | expected$seM1$Item16 [1] 0.233415158 - 0.233415147 [1] [2] 0.317610829 - 0.317610849 [2] [3] 0.109179248 - 0.109179312 [3] [4] 0.079269037 - 0.079269049 [4] [5] 0.140601358 - 0.140601371 [5] actual$seM1$Item18 | expected$seM1$Item18 [1] 0.235640824 - 0.235640788 [1] [2] 0.311619233 - 0.311619184 [2] [3] 0.109317175 - 0.109317182 [3] [4] 0.086003787 - 0.086003770 [4] [5] 0.162425735 - 0.162425751 [5] actual$seM1$Item19 | expected$seM1$Item19 [1] 0.279334792 - 0.279334683 [1] [2] 0.353276217 - 0.353276835 [2] [3] 0.112688877 - 0.112688973 [3] [4] 0.159165465 - 0.159165509 [4] [5] 0.182483039 - 0.182483219 [5] actual$seM1$Item20 | expected$seM1$Item20 [1] 0.292370307 - 0.292370300 [1] [2] 0.394802887 - 0.394802900 [2] [3] 0.161955537 - 0.161955547 [3] [4] 0.047927639 - 0.047927641 [4] [5] 0.192097512 - 0.192097516 [5] actual$covM1$Item2 vs expected$covM1$Item2 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item2[1, ] 0.065679154 0.02566519 -0.019609044 -0.002997836 -0.012192613 + expected$covM1$Item2[1, ] 0.065679156 0.02566518 -0.019609039 -0.002997838 -0.012192615 - actual$covM1$Item2[2, ] 0.025665190 0.11280648 -0.048561392 0.031702945 -0.021355351 + expected$covM1$Item2[2, ] 0.025665183 0.11280643 -0.048561371 0.031702942 -0.021355351 - actual$covM1$Item2[3, ] -0.019609044 -0.04856139 0.037391710 -0.014072577 0.009551815 + expected$covM1$Item2[3, ] -0.019609039 -0.04856137 0.037391696 -0.014072576 0.009551815 - actual$covM1$Item2[4, ] -0.002997836 0.03170294 -0.014072577 0.011611594 -0.005036032 + expected$covM1$Item2[4, ] -0.002997838 0.03170294 -0.014072576 0.011611597 -0.005036033 - actual$covM1$Item2[5, ] -0.012192613 -0.02135535 0.009551815 -0.005036032 0.005442922 + expected$covM1$Item2[5, ] -0.012192615 -0.02135535 0.009551815 -0.005036033 0.005442924 actual$covM1$Item3 vs expected$covM1$Item3 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item3[1, ] 0.272104806 -0.12863746 -0.020122594 -0.22500310 0.006606135 + expected$covM1$Item3[1, ] 0.272104740 -0.12863744 -0.020122622 -0.22500304 0.006606133 - actual$covM1$Item3[2, ] -0.128637462 0.21928699 0.018169230 0.23931738 -0.027586335 + expected$covM1$Item3[2, ] -0.128637437 0.21928698 0.018169284 0.23931734 -0.027586329 - actual$covM1$Item3[3, ] -0.020122594 0.01816923 0.019558620 0.02033012 -0.002319488 + expected$covM1$Item3[3, ] -0.020122622 0.01816928 0.019558628 0.02033018 -0.002319495 - actual$covM1$Item3[4, ] -0.225003100 0.23931738 0.020330125 0.30137267 -0.026579272 + expected$covM1$Item3[4, ] -0.225003038 0.23931734 0.020330182 0.30137258 -0.026579263 - actual$covM1$Item3[5, ] 0.006606135 -0.02758634 -0.002319488 -0.02657927 0.004254451 + expected$covM1$Item3[5, ] 0.006606133 -0.02758633 -0.002319495 -0.02657926 0.004254450 actual$covM1$Item7 vs expected$covM1$Item7 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item7[1, ] 0.24861777 -0.13168198 -0.05711450 -0.19363009 0.02680847 + expected$covM1$Item7[1, ] 0.24861774 -0.13168198 -0.05711449 -0.19363008 0.02680848 - actual$covM1$Item7[2, ] -0.13168198 0.19903352 0.07840870 0.20584411 -0.06988717 + expected$covM1$Item7[2, ] -0.13168198 0.19903351 0.07840870 0.20584410 -0.06988717 - actual$covM1$Item7[3, ] -0.05711450 0.07840870 0.04047383 0.08202830 -0.02784201 + expected$covM1$Item7[3, ] -0.05711449 0.07840870 0.04047383 0.08202830 -0.02784201 - actual$covM1$Item7[4, ] -0.19363009 0.20584411 0.08202830 0.23553052 -0.06625726 + expected$covM1$Item7[4, ] -0.19363008 0.20584410 0.08202830 0.23553051 -0.06625726 - actual$covM1$Item7[5, ] 0.02680847 -0.06988717 -0.02784201 -0.06625726 0.02765753 + expected$covM1$Item7[5, ] 0.02680848 -0.06988717 -0.02784201 -0.06625726 0.02765753 actual$covM1$Item8 vs expected$covM1$Item8 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item8[1, ] 0.127980224 -0.01853840 -0.007895556 -0.030616899 -0.013483788 + expected$covM1$Item8[1, ] 0.127980042 -0.01853835 -0.007895529 -0.030616822 -0.013483787 - actual$covM1$Item8[2, ] -0.018538398 0.20175700 0.011072014 0.083461529 -0.069883402 + expected$covM1$Item8[2, ] -0.018538353 0.20175685 0.011071960 0.083461376 -0.069883326 - actual$covM1$Item8[3, ] -0.007895556 0.01107201 0.014405602 0.004651151 -0.003904769 + expected$covM1$Item8[3, ] -0.007895529 0.01107196 0.014405599 0.004651120 -0.003904753 - actual$covM1$Item8[4, ] -0.030616899 0.08346153 0.004651151 0.039791945 -0.025890385 + expected$covM1$Item8[4, ] -0.030616822 0.08346138 0.004651120 0.039791830 -0.025890328 - actual$covM1$Item8[5, ] -0.013483788 -0.06988340 -0.003904769 -0.025890385 0.028286602 + expected$covM1$Item8[5, ] -0.013483787 -0.06988333 -0.003904753 -0.025890328 0.028286566 actual$covM1$Item9 vs expected$covM1$Item9 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item9[1, ] 0.224918921 -0.07447685 -0.008330165 -0.11316741 0.002628247 + expected$covM1$Item9[1, ] 0.224918530 -0.07447642 -0.008330201 -0.11316683 0.002628051 - actual$covM1$Item9[2, ] -0.074476847 0.28473880 0.013489919 0.22727230 -0.146796537 + expected$covM1$Item9[2, ] -0.074476424 0.28473831 0.013490030 0.22727146 -0.146796259 - actual$covM1$Item9[3, ] -0.008330165 0.01348992 0.010208083 0.01085350 -0.007013488 + expected$covM1$Item9[3, ] -0.008330201 0.01349003 0.010208100 0.01085357 -0.007013541 - actual$covM1$Item9[4, ] -0.113167413 0.22727230 0.010853503 0.19738311 -0.108918602 + expected$covM1$Item9[4, ] -0.113166827 0.22727146 0.010853575 0.19738202 -0.108918167 - actual$covM1$Item9[5, ] 0.002628247 -0.14679654 -0.007013488 -0.10891860 0.083154295 + expected$covM1$Item9[5, ] 0.002628051 -0.14679626 -0.007013541 -0.10891817 0.083154135 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item12[1, ] 0.113331161 -0.002995872 -0.008519888 -0.014343800 -0.021811108 + expected$covM1$Item12[1, ] 0.113331165 -0.002995871 -0.008519885 -0.014343801 -0.021811109 - actual$covM1$Item12[2, ] -0.002995872 0.189458728 0.020012934 0.046964457 -0.076096847 + expected$covM1$Item12[2, ] -0.002995871 0.189458743 0.020012948 0.046964462 -0.076096856 - actual$covM1$Item12[3, ] -0.008519888 0.020012934 0.018704785 0.005060958 -0.008230797 + expected$covM1$Item12[3, ] -0.008519885 0.020012948 0.018704794 0.005060961 -0.008230804 - actual$covM1$Item12[4, ] -0.014343800 0.046964457 0.005060958 0.013966660 -0.016618142 + expected$covM1$Item12[4, ] -0.014343801 0.046964462 0.005060961 0.013966661 -0.016618144 - actual$covM1$Item12[5, ] -0.021811108 -0.076096847 -0.008230797 -0.016618142 0.036582475 + expected$covM1$Item12[5, ] -0.021811109 -0.076096856 -0.008230804 -0.016618144 0.036582479 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item16[1, ] 0.054482636 -0.002616064 -0.0059813192 -0.0073820474 -0.0118201506 + expected$covM1$Item16[1, ] 0.054482631 -0.002616035 -0.0059813191 -0.0073820407 -0.0118201626 - actual$covM1$Item16[2, ] -0.002616064 0.100876639 0.0014047195 0.0222772297 -0.0397191121 + expected$covM1$Item16[2, ] -0.002616035 0.100876651 0.0014046713 0.0222772350 -0.0397191188 - actual$covM1$Item16[3, ] -0.005981319 0.001404719 0.0119201083 0.0003188272 -0.0005713070 + expected$covM1$Item16[3, ] -0.005981319 0.001404671 0.0119201223 0.0003188151 -0.0005712869 - actual$covM1$Item16[4, ] -0.007382047 0.022277230 0.0003188272 0.0062835803 -0.0075099387 + expected$covM1$Item16[4, ] -0.007382041 0.022277235 0.0003188151 0.0062835822 -0.0075099410 - actual$covM1$Item16[5, ] -0.011820151 -0.039719112 -0.0005713070 -0.0075099387 0.0197687419 + expected$covM1$Item16[5, ] -0.011820163 -0.039719119 -0.0005712869 -0.0075099410 0.0197687456 actual$covM1$Item18 vs expected$covM1$Item18 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item18[1, ] 0.055526598 -0.005107745 -0.005777831 -0.008518791 -0.012020502 + expected$covM1$Item18[1, ] 0.055526581 -0.005107706 -0.005777826 -0.008518781 -0.012020516 - actual$covM1$Item18[2, ] -0.005107745 0.097106546 0.012484482 0.024001296 -0.045575976 + expected$covM1$Item18[2, ] -0.005107706 0.097106516 0.012484487 0.024001287 -0.045575976 - actual$covM1$Item18[3, ] -0.005777831 0.012484482 0.011950245 0.003163198 -0.006030887 + expected$covM1$Item18[3, ] -0.005777826 0.012484487 0.011950246 0.003163199 -0.006030892 - actual$covM1$Item18[4, ] -0.008518791 0.024001296 0.003163198 0.007396651 -0.009759212 + expected$covM1$Item18[4, ] -0.008518781 0.024001287 0.003163199 0.007396648 -0.009759212 - actual$covM1$Item18[5, ] -0.012020502 -0.045575976 -0.006030887 -0.009759212 0.026382119 + expected$covM1$Item18[5, ] -0.012020516 -0.045575976 -0.006030892 -0.009759212 0.026382125 actual$covM1$Item19 vs expected$covM1$Item19 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item19[1, ] 0.078027926 -0.01036264 -0.006297070 -0.018930362 -0.012313163 + expected$covM1$Item19[1, ] 0.078027865 -0.01036266 -0.006297082 -0.018930344 -0.012313140 - actual$covM1$Item19[2, ] -0.010362636 0.12480409 0.020498902 0.052043046 -0.059447447 + expected$covM1$Item19[2, ] -0.010362665 0.12480452 0.020498987 0.052043164 -0.059447623 - actual$covM1$Item19[3, ] -0.006297070 0.02049890 0.012698783 0.008692298 -0.009960841 + expected$covM1$Item19[3, ] -0.006297082 0.02049899 0.012698805 0.008692324 -0.009960876 - actual$covM1$Item19[4, ] -0.018930362 0.05204305 0.008692298 0.025333645 -0.022091699 + expected$covM1$Item19[4, ] -0.018930344 0.05204316 0.008692324 0.025333659 -0.022091746 - actual$covM1$Item19[5, ] -0.012313163 -0.05944745 -0.009960841 -0.022091699 0.033300060 + expected$covM1$Item19[5, ] -0.012313140 -0.05944762 -0.009960876 -0.022091746 0.033300125 actual$covM1$Item20 vs expected$covM1$Item20 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item20[1, ] 0.085480397 -0.001719418 -0.010946770 -0.005364424 -0.022613298 + expected$covM1$Item20[1, ] 0.085480392 -0.001719420 -0.010946766 -0.005364424 -0.022613297 - actual$covM1$Item20[2, ] -0.001719418 0.155869320 -0.023641346 0.016042893 -0.066798603 + expected$covM1$Item20[2, ] -0.001719420 0.155869330 -0.023641348 0.016042894 -0.066798608 - actual$covM1$Item20[3, ] -0.010946770 -0.023641346 0.026229596 -0.002529073 0.010504071 + expected$covM1$Item20[3, ] -0.010946766 -0.023641348 0.026229599 -0.002529074 0.010504071 - actual$covM1$Item20[4, ] -0.005364424 0.016042893 -0.002529073 0.002297059 -0.005781457 + expected$covM1$Item20[4, ] -0.005364424 0.016042894 -0.002529074 0.002297059 -0.005781457 - actual$covM1$Item20[5, ] -0.022613298 -0.066798603 0.010504071 -0.005781457 0.036901454 + expected$covM1$Item20[5, ] -0.022613297 -0.066798608 0.010504071 -0.005781457 0.036901456 ── Failure ('test-difNLR.R:118:3'): difNLR - examples at help page ───────────── Expected `fit9` to equal `fit9_expected`. Differences: `actual$nlrPAR[[7]]`: 0.552188439 0.689291692 0.272423602 0.000000000 `expected$nlrPAR[[7]]`: 0.552188451 0.689291690 0.272423576 0.000000000 `actual$nlrPAR[[10]]`: 0.281290398 0.611640553 0.092852151 0.000000000 `expected$nlrPAR[[10]]`: 0.281290404 0.611640549 0.092852128 0.000000000 `actual$nlrSE[[7]]`: 0.067721747 0.056696510 0.096835714 0.000000000 `expected$nlrSE[[7]]`: 0.067721748 0.056696509 0.096835717 0.000000000 `actual$nlrSE[[10]]`: 0.066083583 0.053634794 0.093527262 0.000000000 `expected$nlrSE[[10]]`: 0.066083583 0.053634793 0.093527266 0.000000000 `actual$parM0$Item7`: 0.552188439 0.689291692 0.272423602 `expected$parM0$Item7`: 0.552188451 0.689291690 0.272423576 `actual$parM0$Item10`: 0.281290398 0.611640553 0.092852151 `expected$parM0$Item10`: 0.281290404 0.611640549 0.092852128 `actual$seM0$Item7`: 0.067721747 0.056696510 0.096835714 `expected$seM0$Item7`: 0.067721748 0.056696509 0.096835717 `actual$seM0$Item10`: 0.066083583 0.053634794 0.093527262 `expected$seM0$Item10`: 0.066083583 0.053634793 0.093527266 actual$covM0$Item7 vs expected$covM0$Item7 [,1] [,2] [,3] - actual$covM0$Item7[1, ] 0.0045862351 0.0007942599 -0.0042944437 + expected$covM0$Item7[1, ] 0.0045862352 0.0007942599 -0.0042944438 - actual$covM0$Item7[2, ] 0.0007942599 0.0032144942 0.0003866655 + expected$covM0$Item7[2, ] 0.0007942599 0.0032144942 0.0003866656 - actual$covM0$Item7[3, ] -0.0042944437 0.0003866655 0.0093771555 + expected$covM0$Item7[3, ] -0.0042944438 0.0003866656 0.0093771560 actual$covM0$Item10 vs expected$covM0$Item10 [,1] [,2] [,3] - actual$covM0$Item10[1, ] 0.0043670400 0.0003455708 -0.0043116925 + expected$covM0$Item10[1, ] 0.0043670400 0.0003455710 -0.0043116927 - actual$covM0$Item10[2, ] 0.0003455708 0.0028766911 0.0001151672 + expected$covM0$Item10[2, ] 0.0003455710 0.0028766910 0.0001151668 - actual$covM0$Item10[3, ] -0.0043116925 0.0001151672 0.0087473487 + expected$covM0$Item10[3, ] -0.0043116927 0.0001151668 0.0087473494 `actual$parM1$Item1`: 0.555393692 0.995464991 -0.865126851 -0.152420868 `expected$parM1$Item1`: 0.555393699 0.995465005 -0.865126856 -0.152420890 `actual$parM1$Item7`: 0.559439988 0.719833883 0.252572198 -0.063833226 `expected$parM1$Item7`: 0.559439989 0.719833875 0.252572202 -0.063833206 `actual$seM1$Item1`: 0.074604012 0.094516054 0.100535023 0.126653526 `expected$seM1$Item1`: 0.074604014 0.094516056 0.100535024 0.126653528 `actual$seM1$Item7`: 0.069709755 0.079613910 0.102734359 0.113448595 `expected$seM1$Item7`: 0.069709754 0.079613908 0.102734368 0.113448579 actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] actual$covM1$Item1[1, ] 0.005565759 0.002338469 -0.005565759 -0.002338469 - actual$covM1$Item1[2, ] 0.002338469 0.008933284 -0.002338469 -0.008933284 + expected$covM1$Item1[2, ] 0.002338469 0.008933285 -0.002338469 -0.008933285 - actual$covM1$Item1[3, ] -0.005565759 -0.002338469 0.010107291 0.001271138 + expected$covM1$Item1[3, ] -0.005565759 -0.002338469 0.010107291 0.001271137 - actual$covM1$Item1[4, ] -0.002338469 -0.008933284 0.001271138 0.016041116 + expected$covM1$Item1[4, ] -0.002338469 -0.008933285 0.001271137 0.016041116 actual$covM1$Item7 vs expected$covM1$Item7 [,1] [,2] [,3] [,4] actual$covM1$Item7[1, ] 0.004859450 0.001607575 -0.004859450 -0.001607575 - actual$covM1$Item7[2, ] 0.001607575 0.006338375 -0.001607574 -0.006338375 + expected$covM1$Item7[2, ] 0.001607575 0.006338374 -0.001607575 -0.006338374 - actual$covM1$Item7[3, ] -0.004859450 -0.001607574 0.010554349 0.003928016 + expected$covM1$Item7[3, ] -0.004859450 -0.001607575 0.010554350 0.003928018 - actual$covM1$Item7[4, ] -0.001607575 -0.006338375 0.003928016 0.012870584 + expected$covM1$Item7[4, ] -0.001607575 -0.006338374 0.003928018 0.012870580 ── Failure ('test-difNLR.R:125:3'): difNLR - examples at help page ───────────── Expected `fit10` to equal `fit10_expected`. Differences: actual$nlrPAR[[1]] | expected$nlrPAR[[1]] [1] 0.352215454 - 0.352215398 [1] [2] 1.162842181 - 1.162842153 [2] [3] -1.154791212 - -1.154791138 [3] [4] 0.134319300 - 0.134319297 [4] [5] 0.978822642 - 0.978822657 [5] [6] 0.021177358 - 0.021177343 [6] actual$nlrPAR[[9]] | expected$nlrPAR[[9]] [1] 0.247626831 - 0.247627610 [1] [2] 0.639745163 - 0.639744929 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.051677451 - 0.051677078 [4] [5] 0.997704129 - 0.997704122 [5] [6] 0.002295871 - 0.002295878 [6] actual$nlrPAR[[19]] | expected$nlrPAR[[19]] [1] -0.338788974 - -0.338789188 [1] [2] 1.026951113 - 1.026951238 [2] [3] 0.585537899 - 0.585537978 [3] [4] 0.061911742 - 0.061911810 [4] [5] 1.000000000 | 1.000000000 [5] [6] -0.149407491 - -0.149407505 [6] actual$nlrSE[[1]] | expected$nlrSE[[1]] [1] 0.244158662 - 0.244158657 [1] [2] 0.291674011 - 0.291674027 [2] [3] 0.341276352 - 0.341276339 [3] [4] 0.067339932 - 0.067339936 [4] [5] 0.083503178 - 0.083503183 [5] [6] 0.105691296 | 0.105691296 [6] actual$nlrSE[[7]] | expected$nlrSE[[7]] [1] 0.460828393 - 0.460828449 [1] [2] 0.445556540 - 0.445556550 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.477252118 - 0.477252149 [4] [5] 0.143832805 - 0.143832803 [5] [6] 0.030632741 | 0.030632741 [6] actual$nlrSE[[9]] | expected$nlrSE[[9]] [1] 0.464768649 - 0.464768825 [1] [2] 0.532542182 - 0.532542491 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.433897776 - 0.433898621 [4] [5] 0.286004872 - 0.286005089 [5] [6] 0.036888569 - 0.036888559 [6] actual$nlrSE[[19]] | expected$nlrSE[[19]] [1] 0.293265666 - 0.293265676 [1] [2] 0.345509359 - 0.345509334 [2] [3] 0.277210636 - 0.277210633 [3] [4] 0.110267583 - 0.110267544 [4] [5] 0.156016742 - 0.156016710 [5] [6] 0.104063828 - 0.104063823 [6] actual$parM0$Item9 | expected$parM0$Item9 [1] 0.247626831 - 0.247627610 [1] [2] 0.639745163 - 0.639744929 [2] [3] 0.051677451 - 0.051677078 [3] [4] 0.997704129 - 0.997704122 [4] [5] 0.002295871 - 0.002295878 [5] actual$seM0$Item7 | expected$seM0$Item7 [1] 0.460828393 - 0.460828449 [1] [2] 0.445556540 - 0.445556550 [2] [3] 0.477252118 - 0.477252149 [3] [4] 0.143832805 - 0.143832803 [4] [5] 0.030632741 | 0.030632741 [5] actual$seM0$Item9 | expected$seM0$Item9 [1] 0.464768649 - 0.464768825 [1] [2] 0.532542182 - 0.532542491 [2] [3] 0.433897776 - 0.433898621 [3] [4] 0.286004872 - 0.286005089 [4] [5] 0.036888569 - 0.036888559 [5] actual$covM0$Item7 vs expected$covM0$Item7 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item7[1, ] 0.212362808 -0.094143900 -0.156584884 0.0119019143 -0.0037323225 + expected$covM0$Item7[1, ] 0.212362860 -0.094143928 -0.156584925 0.0119019169 -0.0037323230 - actual$covM0$Item7[2, ] -0.094143900 0.198520630 0.200777938 -0.0601200805 0.0016901313 + expected$covM0$Item7[2, ] -0.094143928 0.198520639 0.200777955 -0.0601200800 0.0016901308 - actual$covM0$Item7[3, ] -0.156584884 0.200777938 0.227769584 -0.0556754197 0.0027817835 + expected$covM0$Item7[3, ] -0.156584925 0.200777955 0.227769613 -0.0556754204 0.0027817831 - actual$covM0$Item7[4, ] 0.011901914 -0.060120080 -0.055675420 0.0206878757 -0.0006579880 + expected$covM0$Item7[4, ] 0.011901917 -0.060120080 -0.055675420 0.0206878753 -0.0006579877 - actual$covM0$Item7[5, ] -0.003732323 0.001690131 0.002781783 -0.0006579880 0.0009383648 + expected$covM0$Item7[5, ] -0.003732323 0.001690131 0.002781783 -0.0006579877 0.0009383648 actual$covM0$Item9 vs expected$covM0$Item9 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item9[1, ] 0.2160098974 -6.476477e-02 -1.030129e-01 -0.0022779940 -1.760865e-04 + expected$covM0$Item9[1, ] 0.2160100606 -6.476500e-02 -1.030133e-01 -0.0022778702 -1.760864e-04 - actual$covM0$Item9[2, ] -0.0647647690 2.836012e-01 2.213988e-01 -0.1449467105 1.480259e-05 + expected$covM0$Item9[2, ] -0.0647650005 2.836015e-01 2.213994e-01 -0.1449469175 1.480101e-05 - actual$covM0$Item9[3, ] -0.1030129342 2.213988e-01 1.882673e-01 -0.1051302805 5.657609e-05 + expected$covM0$Item9[3, ] -0.1030132619 2.213994e-01 1.882680e-01 -0.1051305951 5.657496e-05 - actual$covM0$Item9[4, ] -0.0022779940 -1.449467e-01 -1.051303e-01 0.0817987867 -6.575088e-04 + expected$covM0$Item9[4, ] -0.0022778702 -1.449469e-01 -1.051306e-01 0.0817989109 -6.575075e-04 - actual$covM0$Item9[5, ] -0.0001760865 1.480259e-05 5.657609e-05 -0.0006575088 1.360767e-03 + expected$covM0$Item9[5, ] -0.0001760864 1.480101e-05 5.657496e-05 -0.0006575075 1.360766e-03 actual$parM1$Item1 | expected$parM1$Item1 [1] 0.352215454 - 0.352215398 [1] [2] 1.162842181 - 1.162842153 [2] [3] -1.154791212 - -1.154791138 [3] [4] 0.134319300 - 0.134319297 [4] [5] 0.978822642 - 0.978822657 [5] [6] 0.021177358 - 0.021177343 [6] actual$parM1$Item7 | expected$parM1$Item7 [1] 0.557582568 - 0.557582567 [1] [2] 0.712124977 - 0.712124987 [2] [3] 0.376374508 - 0.376374549 [3] [4] 0.000000000 | 0.000000000 [4] [5] 1.000000000 | 1.000000000 [5] [6] -0.030721342 - -0.030721351 [6] actual$parM1$Item8 | expected$parM1$Item8 [1] 0.373665964 - 0.373666098 [1] [2] 0.979433086 - 0.979433010 [2] [3] -0.351044400 - -0.351044421 [3] [4] 0.234844420 - 0.234844380 [4] [5] 0.886701304 - 0.886701302 [5] [6] 0.113298696 - 0.113298698 [6] actual$parM1$Item11 | expected$parM1$Item11 [1] 0.821799628 - 0.821799927 [1] [2] 0.892827642 - 0.892827427 [2] [3] -0.017299339 - -0.017299667 [3] [4] 0.035553945 - 0.035553763 [4] [5] 1.000000000 | 1.000000000 [5] [6] -0.014779686 - -0.014779605 [6] actual$parM1$Item14 | expected$parM1$Item14 [1] -0.501624851 - -0.501625019 [1] [2] 0.864989151 - 0.864989228 [2] [3] 0.111855727 - 0.111855771 [3] [4] 0.063395655 - 0.063395703 [4] [5] 1.000000000 | 1.000000000 [5] [6] 0.000000000 | 0.000000000 [6] actual$parM1$Item16 | expected$parM1$Item16 [1] -0.510654562 - -0.510654210 [1] [2] 1.080508002 - 1.080507944 [2] [3] 0.015599456 - 0.015598920 [3] [4] 0.076472713 - 0.076472689 [4] [5] 1.000000000 | 1.000000000 [5] [6] 0.000000000 | 0.000000000 [6] actual$parM1$Item19 | expected$parM1$Item19 [1] -0.338788974 - -0.338789188 [1] [2] 1.026951113 - 1.026951238 [2] [3] 0.585537899 - 0.585537978 [3] [4] 0.061911742 - 0.061911810 [4] [5] 1.000000000 | 1.000000000 [5] [6] -0.149407491 - -0.149407505 [6] actual$seM1$Item1 | expected$seM1$Item1 [1] 0.244158662 - 0.244158657 [1] [2] 0.291674011 - 0.291674027 [2] [3] 0.341276352 - 0.341276339 [3] [4] 0.067339932 - 0.067339936 [4] [5] 0.083503178 - 0.083503183 [5] [6] 0.105691296 | 0.105691296 [6] actual$seM1$Item7 | expected$seM1$Item7 [1] 0.515971332 - 0.515971341 [1] [2] 0.434907110 | 0.434907110 [2] [3] 0.303436166 - 0.303436189 [3] [4] 0.456730046 - 0.456730039 [4] [5] 0.168363776 - 0.168363774 [5] [6] 0.079816386 | 0.079816386 [6] actual$seM1$Item8 | expected$seM1$Item8 [1] 0.369078034 - 0.369078012 [1] [2] 0.441531312 - 0.441531342 [2] [3] 0.314818618 - 0.314818594 [3] [4] 0.145956190 - 0.145956228 [4] [5] 0.102592249 - 0.102592261 [5] [6] 0.089117030 - 0.089117032 [6] actual$seM1$Item11 | expected$seM1$Item11 [1] 0.321227742 - 0.321227844 [1] [2] 0.366683936 - 0.366684119 [2] [3] 0.216059242 - 0.216059189 [3] [4] 0.285346569 - 0.285346881 [4] [5] 0.098277328 - 0.098277317 [5] [6] 0.059399889 - 0.059399854 [6] actual$seM1$Item14 | expected$seM1$Item14 [1] 0.344221248 - 0.344221226 [1] [2] 0.379547996 - 0.379547886 [2] [3] 0.307898170 - 0.307898202 [3] [4] 0.127286626 - 0.127286559 [4] [5] 0.244256576 - 0.244256518 [5] [6] 0.137244654 - 0.137244661 [6] actual$seM1$Item16 | expected$seM1$Item16 [1] 0.263698611 - 0.263698513 [1] [2] 0.317694287 - 0.317694305 [2] [3] 0.265001070 - 0.265001108 [3] [4] 0.079289062 - 0.079289074 [4] [5] 0.151292397 - 0.151292374 [5] [6] 0.108903078 - 0.108903021 [6] actual$seM1$Item19 | expected$seM1$Item19 [1] 0.293265666 - 0.293265676 [1] [2] 0.345509359 - 0.345509334 [2] [3] 0.277210636 - 0.277210633 [3] [4] 0.110267583 - 0.110267544 [4] [5] 0.156016742 - 0.156016710 [5] [6] 0.104063828 - 0.104063823 [6] actual$seM1$Item20 | expected$seM1$Item20 [1] 0.328003094 - 0.328003101 [1] [2] 0.395824164 - 0.395824153 [2] [3] 0.391843491 - 0.391843523 [3] [4] 0.047961151 | 0.047961151 [4] [5] 0.200224027 - 0.200224040 [5] [6] 0.162426278 - 0.162426290 [6] actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item1[1, ] 0.059613452 0.033895448 -0.03788850 0.0013905549 -0.0162716515 -0.0012268023 + expected$covM1$Item1[1, ] 0.059613450 0.033895451 -0.03788849 0.0013905550 -0.0162716520 -0.0012268058 - actual$covM1$Item1[2, ] 0.033895448 0.085073729 -0.05659170 0.0163633049 -0.0200493409 -0.0092486948 + expected$covM1$Item1[2, ] 0.033895451 0.085073738 -0.05659170 0.0163633066 -0.0200493442 -0.0092486969 - actual$covM1$Item1[3, ] -0.037888499 -0.056591699 0.11646955 -0.0140781627 0.0185985498 -0.0191014662 + expected$covM1$Item1[3, ] -0.037888488 -0.056591700 0.11646954 -0.0140781639 0.0185985489 -0.0191014640 - actual$covM1$Item1[4, ] 0.001390555 0.016363305 -0.01407816 0.0045346665 -0.0033525860 -0.0007070005 + expected$covM1$Item1[4, ] 0.001390555 0.016363307 -0.01407816 0.0045346669 -0.0033525866 -0.0007070006 - actual$covM1$Item1[5, ] -0.016271652 -0.020049341 0.01859855 -0.0033525860 0.0069727807 0.0005040500 + expected$covM1$Item1[5, ] -0.016271652 -0.020049344 0.01859855 -0.0033525866 0.0069727816 0.0005040511 - actual$covM1$Item1[6, ] -0.001226802 -0.009248695 -0.01910147 -0.0007070005 0.0005040500 0.0111706500 + expected$covM1$Item1[6, ] -0.001226806 -0.009248697 -0.01910146 -0.0007070006 0.0005040511 0.0111706500 actual$covM1$Item7 vs expected$covM1$Item7 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item7[1, ] 0.266226415 -0.113628960 -0.09733677 -0.174640245 0.009870489 0.013157213 + expected$covM1$Item7[1, ] 0.266226425 -0.113628963 -0.09733680 -0.174640246 0.009870488 0.013157219 - actual$covM1$Item7[2, ] -0.113628960 0.189144194 0.07184297 0.187418804 -0.065339144 0.007629050 + expected$covM1$Item7[2, ] -0.113628963 0.189144194 0.07184299 0.187418802 -0.065339143 0.007629049 - actual$covM1$Item7[3, ] -0.097336771 0.071842970 0.09207351 0.080183890 -0.012665938 -0.015228160 + expected$covM1$Item7[3, ] -0.097336804 0.071842985 0.09207352 0.080183911 -0.012665940 -0.015228159 - actual$covM1$Item7[4, ] -0.174640245 0.187418804 0.08018389 0.208602335 -0.057307789 0.004419499 + expected$covM1$Item7[4, ] -0.174640246 0.187418802 0.08018391 0.208602329 -0.057307786 0.004419496 - actual$covM1$Item7[5, ] 0.009870489 -0.065339144 -0.01266594 -0.057307789 0.028346361 -0.007015564 + expected$covM1$Item7[5, ] 0.009870488 -0.065339143 -0.01266594 -0.057307786 0.028346360 -0.007015564 - actual$covM1$Item7[6, ] 0.013157213 0.007629050 -0.01522816 0.004419499 -0.007015564 0.006370656 + expected$covM1$Item7[6, ] 0.013157219 0.007629049 -0.01522816 0.004419496 -0.007015564 0.006370655 actual$covM1$Item8 vs expected$covM1$Item8 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item8[1, ] 0.136218595 -0.001234253 -0.053715358 -0.017823004 -0.0171254833 0.0074588463 + expected$covM1$Item8[1, ] 0.136218579 -0.001234256 -0.053715336 -0.017823007 -0.0171254796 0.0074588406 - actual$covM1$Item8[2, ] -0.001234253 0.194949900 -0.011393082 0.058559684 -0.0377344370 -0.0153598130 + expected$covM1$Item8[2, ] -0.001234256 0.194949926 -0.011393077 0.058559705 -0.0377344472 -0.0153598188 - actual$covM1$Item8[3, ] -0.053715358 -0.011393082 0.099110762 -0.003505089 0.0128447999 -0.0216946963 + expected$covM1$Item8[3, ] -0.053715336 -0.011393077 0.099110747 -0.003505091 0.0128447970 -0.0216946942 - actual$covM1$Item8[4, ] -0.017823004 0.058559684 -0.003505089 0.021303209 -0.0099108824 -0.0039097096 + expected$covM1$Item8[4, ] -0.017823007 0.058559705 -0.003505091 0.021303220 -0.0099108880 -0.0039097113 - actual$covM1$Item8[5, ] -0.017125483 -0.037734437 0.012844800 -0.009910882 0.0105251695 0.0005678518 + expected$covM1$Item8[5, ] -0.017125480 -0.037734447 0.012844797 -0.009910888 0.0105251721 0.0005678539 - actual$covM1$Item8[6, ] 0.007458846 -0.015359813 -0.021694696 -0.003909710 0.0005678518 0.0079418450 + expected$covM1$Item8[6, ] 0.007458841 -0.015359819 -0.021694694 -0.003909711 0.0005678539 0.0079418455 actual$covM1$Item11 vs expected$covM1$Item11 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item11[1, ] 0.103187262 -0.0285811054 -0.019794494 -0.0495141221 -0.005389108 0.0052465669 + expected$covM1$Item11[1, ] 0.103187328 -0.0285812587 -0.019794464 -0.0495142615 -0.005389079 0.0052465622 - actual$covM1$Item11[2, ] -0.028581105 0.1344571089 -0.006164421 0.0971610979 -0.031410636 0.0007173716 + expected$covM1$Item11[2, ] -0.028581259 0.1344572434 -0.006164344 0.0971612630 -0.031410646 0.0007173332 - actual$covM1$Item11[3, ] -0.019794494 -0.0061644206 0.046681596 -0.0051219820 0.006834153 -0.0112628186 + expected$covM1$Item11[3, ] -0.019794464 -0.0061643439 0.046681573 -0.0051219438 0.006834130 -0.0112628070 - actual$covM1$Item11[4, ] -0.049514122 0.0971610979 -0.005121982 0.0814226647 -0.020164479 0.0005750417 + expected$covM1$Item11[4, ] -0.049514262 0.0971612630 -0.005121944 0.0814228427 -0.020164500 0.0005750174 - actual$covM1$Item11[5, ] -0.005389108 -0.0314106362 0.006834153 -0.0201644787 0.009658433 -0.0019029343 + expected$covM1$Item11[5, ] -0.005389079 -0.0314106460 0.006834130 -0.0201644997 0.009658431 -0.0019029235 - actual$covM1$Item11[6, ] 0.005246567 0.0007173716 -0.011262819 0.0005750417 -0.001902934 0.0035283468 + expected$covM1$Item11[6, ] 0.005246562 0.0007173332 -0.011262807 0.0005750174 -0.001902924 0.0035283427 actual$covM1$Item14 vs expected$covM1$Item14 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item14[1, ] 0.118488267 0.005535921 -0.052989676 -0.0113234928 -0.03962850 0.0230421139 + expected$covM1$Item14[1, ] 0.118488253 0.005535929 -0.052989676 -0.0113234873 -0.03962849 0.0230421137 - actual$covM1$Item14[2, ] 0.005535921 0.144056682 0.013477919 0.0445211748 -0.08143136 0.0022770389 + expected$covM1$Item14[2, ] 0.005535929 0.144056598 0.013477926 0.0445211355 -0.08143132 0.0022770391 - actual$covM1$Item14[3, ] -0.052989676 0.013477919 0.094801283 0.0050631157 0.01437575 -0.0391800641 + expected$covM1$Item14[3, ] -0.052989676 0.013477926 0.094801303 0.0050631158 0.01437575 -0.0391800695 - actual$covM1$Item14[4, ] -0.011323493 0.044521175 0.005063116 0.0162018851 -0.02224758 0.0003227620 + expected$covM1$Item14[4, ] -0.011323487 0.044521135 0.005063116 0.0162018680 -0.02224756 0.0003227622 - actual$covM1$Item14[5, ] -0.039628496 -0.081431362 0.014375754 -0.0222475791 0.05966128 -0.0118841684 + expected$covM1$Item14[5, ] -0.039628494 -0.081431316 0.014375751 -0.0222475584 0.05966125 -0.0118841686 - actual$covM1$Item14[6, ] 0.023042114 0.002277039 -0.039180064 0.0003227620 -0.01188417 0.0188360951 + expected$covM1$Item14[6, ] 0.023042114 0.002277039 -0.039180069 0.0003227622 -0.01188417 0.0188360969 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item16[1, ] 0.069536957 -0.0024262552 -0.0355827337 -7.366823e-03 -0.018663109 1.334985e-02 + expected$covM1$Item16[1, ] 0.069536906 -0.0024262422 -0.0355826899 -7.366816e-03 -0.018663099 1.334982e-02 - actual$covM1$Item16[2, ] -0.002426255 0.1009296598 0.0010289775 2.228864e-02 -0.039825988 1.697896e-04 + expected$covM1$Item16[2, ] -0.002426242 0.1009296716 0.0010289591 2.228865e-02 -0.039825988 1.697760e-04 - actual$covM1$Item16[3, ] -0.035582734 0.0010289775 0.0702255669 2.817081e-04 0.012895186 -2.629496e-02 + expected$covM1$Item16[3, ] -0.035582690 0.0010289591 0.0702255872 2.816958e-04 0.012895183 -2.629495e-02 - actual$covM1$Item16[4, ] -0.007366823 0.0222886425 0.0002817081 6.286755e-03 -0.007522316 1.681403e-05 + expected$covM1$Item16[4, ] -0.007366816 0.0222886478 0.0002816958 6.286757e-03 -0.007522319 1.681412e-05 - actual$covM1$Item16[5, ] -0.018663109 -0.0398259879 0.0128951856 -7.522316e-03 0.022889389 -6.073955e-03 + expected$covM1$Item16[5, ] -0.018663099 -0.0398259876 0.0128951835 -7.522319e-03 0.022889382 -6.073941e-03 - actual$covM1$Item16[6, ] 0.013349846 0.0001697896 -0.0262949589 1.681403e-05 -0.006073955 1.185988e-02 + expected$covM1$Item16[6, ] 0.013349819 0.0001697760 -0.0262949466 1.681412e-05 -0.006073941 1.185987e-02 actual$covM1$Item19 vs expected$covM1$Item19 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item19[1, ] 0.08600475 -0.01146327 -0.041554943 -0.014395520 -0.017346107 0.015376747 + expected$covM1$Item19[1, ] 0.08600476 -0.01146328 -0.041554942 -0.014395521 -0.017346103 0.015376744 - actual$covM1$Item19[2, ] -0.01146327 0.11937672 0.025664932 0.034086337 -0.045215648 0.015560388 + expected$covM1$Item19[2, ] -0.01146328 0.11937670 0.025664916 0.034086320 -0.045215632 0.015560386 - actual$covM1$Item19[3, ] -0.04155494 0.02566493 0.076845737 0.008457500 0.003751187 -0.018726966 + expected$covM1$Item19[3, ] -0.04155494 0.02566492 0.076845735 0.008457492 0.003751194 -0.018726967 - actual$covM1$Item19[4, ] -0.01439552 0.03408634 0.008457500 0.012158940 -0.010916097 0.003499175 + expected$covM1$Item19[4, ] -0.01439552 0.03408632 0.008457492 0.012158931 -0.010916088 0.003499173 - actual$covM1$Item19[5, ] -0.01734611 -0.04521565 0.003751187 -0.010916097 0.024341224 -0.012245019 + expected$covM1$Item19[5, ] -0.01734610 -0.04521563 0.003751194 -0.010916088 0.024341214 -0.012245016 - actual$covM1$Item19[6, ] 0.01537675 0.01556039 -0.018726966 0.003499175 -0.012245019 0.010829280 + expected$covM1$Item19[6, ] 0.01537674 0.01556039 -0.018726967 0.003499173 -0.012245016 0.010829279 actual$covM1$Item20 vs expected$covM1$Item20 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item20[1, ] 0.107586029 -0.005731491 -0.063948026 -0.0055782962 -0.030987219 0.0241259997 + expected$covM1$Item20[1, ] 0.107586034 -0.005731479 -0.063948041 -0.0055782951 -0.030987227 0.0241260057 - actual$covM1$Item20[2, ] -0.005731491 0.156676769 -0.014016515 0.0160894907 -0.065311708 -0.0043872291 + expected$covM1$Item20[2, ] -0.005731479 0.156676760 -0.014016535 0.0160894902 -0.065311711 -0.0043872209 - actual$covM1$Item20[3, ] -0.063948026 -0.014016515 0.153541322 -0.0020230453 0.030595952 -0.0579519575 + expected$covM1$Item20[3, ] -0.063948041 -0.014016535 0.153541347 -0.0020230463 0.030595966 -0.0579519675 - actual$covM1$Item20[4, ] -0.005578296 0.016089491 -0.002023045 0.0023002720 -0.005704386 -0.0002309754 + expected$covM1$Item20[4, ] -0.005578295 0.016089490 -0.002023046 0.0023002720 -0.005704386 -0.0002309750 - actual$covM1$Item20[5, ] -0.030987219 -0.065311708 0.030595952 -0.0057043856 0.040089661 -0.0091442091 + expected$covM1$Item20[5, ] -0.030987227 -0.065311711 0.030595966 -0.0057043860 0.040089666 -0.0091442146 - actual$covM1$Item20[6, ] 0.024126000 -0.004387229 -0.057951957 -0.0002309754 -0.009144209 0.0263822957 + expected$covM1$Item20[6, ] 0.024126006 -0.004387221 -0.057951967 -0.0002309750 -0.009144215 0.0263822996 ── Failure ('test-difNLR.R:134:3'): difNLR - examples at help page ───────────── Expected `fit11` to equal `fit11_expected`. Differences: actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item13[1, ] 0.25126912 -0.089346410 -0.0221235270 0.0232188363 -0.105533787 + expected$covM1$Item13[1, ] 0.25126913 -0.089346412 -0.0221235275 0.0232188371 -0.105533790 - actual$covM1$Item13[2, ] -0.08934641 0.043589127 0.0046938528 -0.0191598192 0.038987025 + expected$covM1$Item13[2, ] -0.08934641 0.043589128 0.0046938531 -0.0191598194 0.038987026 - actual$covM1$Item13[3, ] -0.02212353 0.004693853 0.0172176106 0.0007736615 0.006188728 + expected$covM1$Item13[3, ] -0.02212353 0.004693853 0.0172176106 0.0007736615 0.006188729 actual$covM1$Item13[4, ] 0.02321884 -0.019159819 0.0007736615 0.0235615332 -0.010317708 - actual$covM1$Item13[5, ] -0.10553379 0.038987025 0.0061887284 -0.0103177077 0.045753707 + expected$covM1$Item13[5, ] -0.10553379 0.038987026 0.0061887286 -0.0103177080 0.045753708 ── Failure ('test-difNLR.R:142:3'): difNLR - examples at help page ───────────── Expected `fit13` to equal `fit13_expected`. Differences: actual$seM1$Item5 | expected$seM1$Item5 [1] 1.322534201 - 1.322534498 [1] [2] 0.431582728 - 0.431582819 [2] [3] 0.140846431 | 0.140846431 [3] [4] 0.140395643 | 0.140395643 [4] [5] 1.074186699 - 1.074186941 [5] actual$seM1$Item8 | expected$seM1$Item8 [1] 0.730251348 - 0.730251282 [1] [2] 0.206478511 - 0.206478465 [2] [3] 0.098993891 - 0.098993872 [3] [4] 0.148676710 - 0.148676713 [4] [5] 0.424514653 - 0.424514567 [5] `actual$seM1$Item9`: 0.55250211 0.18526841 0.09561754 0.10360347 0.29564975 `expected$seM1$Item9`: 0.55246653 0.18525882 0.09561658 0.10360309 0.29563246 actual$seM1$Item11 | expected$seM1$Item11 [1] 0.325599004 - 0.325598987 [1] [2] 0.143642509 - 0.143642500 [2] [3] 0.106457440 | 0.106457440 [3] [4] 0.116418337 | 0.116418337 [4] [5] 0.203939037 - 0.203939025 [5] actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item5[1, ] 1.74909671 -0.548378108 -0.012562796 0.017270675 -1.416467759 + expected$covM1$Item5[1, ] 1.74909750 -0.548378357 -0.012562800 0.017270684 -1.416468398 - actual$covM1$Item5[2, ] -0.54837811 0.186263651 -0.004388997 -0.017203484 0.450884818 + expected$covM1$Item5[2, ] -0.54837836 0.186263730 -0.004388995 -0.017203487 0.450885020 - actual$covM1$Item5[3, ] -0.01256280 -0.004388997 0.019837717 0.009468767 0.001859731 + expected$covM1$Item5[3, ] -0.01256280 -0.004388995 0.019837717 0.009468767 0.001859734 - actual$covM1$Item5[4, ] 0.01727068 -0.017203484 0.009468767 0.019710937 -0.018236294 + expected$covM1$Item5[4, ] 0.01727068 -0.017203487 0.009468767 0.019710937 -0.018236302 - actual$covM1$Item5[5, ] -1.41646776 0.450884818 0.001859731 -0.018236294 1.153877065 + expected$covM1$Item5[5, ] -1.41646840 0.450885020 0.001859734 -0.018236302 1.153877585 actual$covM1$Item8 vs expected$covM1$Item8 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item8[1, ] 0.533267032 -0.140070238 0.0032524017 -0.0759137666 -0.308653218 + expected$covM1$Item8[1, ] 0.533266935 -0.140070190 0.0032522779 -0.0759137634 -0.308653128 - actual$covM1$Item8[2, ] -0.140070238 0.042633375 -0.0026951353 0.0148389829 0.082131213 + expected$covM1$Item8[2, ] -0.140070190 0.042633357 -0.0026951021 0.0148389789 0.082131176 - actual$covM1$Item8[3, ] 0.003252402 -0.002695135 0.0097997904 0.0004640690 -0.004603230 + expected$covM1$Item8[3, ] 0.003252278 -0.002695102 0.0097997867 0.0004640864 -0.004603157 - actual$covM1$Item8[4, ] -0.075913767 0.014838983 0.0004640690 0.0221047640 0.043974903 + expected$covM1$Item8[4, ] -0.075913763 0.014838979 0.0004640864 0.0221047650 0.043974896 - actual$covM1$Item8[5, ] -0.308653218 0.082131213 -0.0046032297 0.0439749031 0.180212690 + expected$covM1$Item8[5, ] -0.308653128 0.082131176 -0.0046031569 0.0439748964 0.180212618 actual$covM1$Item9 vs expected$covM1$Item9 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item9[1, ] 0.30525858 -0.093032991 -0.0109444470 0.0103571724 -0.162131078 + expected$covM1$Item9[1, ] 0.30521926 -0.093021165 -0.0109397238 0.0103553681 -0.162110996 - actual$covM1$Item9[2, ] -0.09303299 0.034324385 0.0015497219 -0.0086258092 0.050396087 + expected$covM1$Item9[2, ] -0.09302117 0.034320832 0.0015482627 -0.0086252624 0.050390059 - actual$covM1$Item9[3, ] -0.01094445 0.001549722 0.0091427141 0.0006446767 0.003459223 + expected$covM1$Item9[3, ] -0.01093972 0.001548263 0.0091425304 0.0006448540 0.003456701 - actual$covM1$Item9[4, ] 0.01035717 -0.008625809 0.0006446767 0.0107336796 -0.005823558 + expected$covM1$Item9[4, ] 0.01035537 -0.008625262 0.0006448540 0.0107336005 -0.005822626 - actual$covM1$Item9[5, ] -0.16213108 0.050396087 0.0034592235 -0.0058235584 0.087408777 + expected$covM1$Item9[5, ] -0.16211100 0.050390059 0.0034567009 -0.0058226256 0.087398553 actual$covM1$Item11 vs expected$covM1$Item11 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item11[1, ] 0.106014712 -0.035099245 -0.004175992 -0.004813213 -0.064548340 + expected$covM1$Item11[1, ] 0.106014700 -0.035099239 -0.004175992 -0.004813214 -0.064548332 - actual$covM1$Item11[2, ] -0.035099245 0.020633170 -0.002436880 -0.005922076 0.023791486 + expected$covM1$Item11[2, ] -0.035099239 0.020633168 -0.002436879 -0.005922076 0.023791483 - actual$covM1$Item11[3, ] -0.004175992 -0.002436880 0.011333186 0.003230759 -0.001070505 + expected$covM1$Item11[3, ] -0.004175992 -0.002436879 0.011333186 0.003230759 -0.001070505 - actual$covM1$Item11[4, ] -0.004813213 -0.005922076 0.003230759 0.013553229 0.001925740 + expected$covM1$Item11[4, ] -0.004813214 -0.005922076 0.003230759 0.013553229 0.001925740 - actual$covM1$Item11[5, ] -0.064548340 0.023791486 -0.001070505 0.001925740 0.041591131 + expected$covM1$Item11[5, ] -0.064548332 0.023791483 -0.001070505 0.001925740 0.041591126 ── Failure ('test-difNLR.R:377:3'): testing paper code - R Journal 2020 - generated data ── Expected `fit1` to equal `fit1_expected`. Differences: actual$nlrPAR[[1]] | expected$nlrPAR[[1]] [1] -1.919268840 - -1.919268809 [1] [2] 1.483505545 - 1.483505528 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.048786386 - 0.048786382 [5] [6] 0.000000000 | 0.000000000 [6] [7] 1.000000000 | 1.000000000 [7] [8] 0.000000000 | 0.000000000 [8] actual$nlrPAR[[15]] | expected$nlrPAR[[15]] [1] 0.49475938 - 0.49475871 [1] [2] 0.87505639 - 0.87505601 [2] [3] -0.26048375 - -0.26048229 [3] [4] 0.20497607 - 0.20497701 [4] [5] 0.00000000 | 0.00000000 [5] [6] 0.00000000 | 0.00000000 [6] [7] 0.94485732 - 0.94485751 [7] [8] -0.14246026 - -0.14246067 [8] actual$nlrSE[[1]] | expected$nlrSE[[1]] [1] 0.306678421 - 0.306678419 [1] [2] 0.384450300 - 0.384450339 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.036074443 - 0.036074445 [5] [6] 0.000000000 | 0.000000000 [6] [7] 0.187373494 - 0.187373509 [7] [8] 0.000000000 | 0.000000000 [8] actual$nlrSE[[15]] | expected$nlrSE[[15]] [1] 0.728175092 - 0.728175304 [1] [2] 0.848810046 - 0.848810111 [2] [3] 0.908598676 - 0.908598925 [3] [4] 1.146434153 - 1.146434270 [4] [5] 0.608242074 - 0.608242329 [5] [6] 0.669353204 - 0.669353421 [6] [7] 0.247191318 - 0.247191623 [7] [8] 0.304365128 - 0.304365254 [8] `actual$parM0$Item1`: -1.919268840 1.483505545 0.048786386 1.000000000 `expected$parM0$Item1`: -1.919268809 1.483505528 0.048786382 1.000000000 `actual$seM0$Item1`: 0.306678421 0.384450300 0.036074443 0.187373494 `expected$seM0$Item1`: 0.306678419 0.384450339 0.036074445 0.187373509 actual$covM0$Item1 vs expected$covM0$Item1 [,1] [,2] [,3] [,4] - actual$covM0$Item1[1, ] 0.0940516537 -0.06062457 -0.008213436 0.0005695563 + expected$covM0$Item1[1, ] 0.0940516524 -0.06062458 -0.008213436 0.0005695592 - actual$covM0$Item1[2, ] -0.0606245684 0.14780203 0.011029921 -0.0600486799 + expected$covM0$Item1[2, ] -0.0606245756 0.14780206 0.011029924 -0.0600486926 - actual$covM0$Item1[3, ] -0.0082134355 0.01102992 0.001301365 -0.0036034236 + expected$covM0$Item1[3, ] -0.0082134359 0.01102992 0.001301366 -0.0036034245 - actual$covM0$Item1[4, ] 0.0005695563 -0.06004868 -0.003603424 0.0351088262 + expected$covM0$Item1[4, ] 0.0005695592 -0.06004869 -0.003603425 0.0351088318 actual$parM1$Item14 | expected$parM1$Item14 [1] -1.471012394 - -1.471012289 [1] [2] 0.803250578 - 0.803250529 [2] [3] -0.839079694 - -0.839079901 [3] [4] 0.722644561 - 0.722644675 [4] [5] 0.094230558 - 0.094230542 [5] [6] 0.085507754 - 0.085507776 [6] [7] 1.000000000 | 1.000000000 [7] [8] 0.000000000 | 0.000000000 [8] actual$parM1$Item15 | expected$parM1$Item15 [1] 0.49475938 - 0.49475871 [1] [2] 0.87505639 - 0.87505601 [2] [3] -0.26048375 - -0.26048229 [3] [4] 0.20497607 - 0.20497701 [4] [5] 0.00000000 | 0.00000000 [5] [6] 0.00000000 | 0.00000000 [6] [7] 0.94485732 - 0.94485751 [7] [8] -0.14246026 - -0.14246067 [8] actual$seM1$Item3 | expected$seM1$Item3 [1] 0.440195514 - 0.440195511 [1] [2] 0.541812273 - 0.541812298 [2] [3] 0.680132585 - 0.680132551 [3] [4] 0.771896585 - 0.771896611 [4] [5] 0.052217411 - 0.052217412 [5] [6] 0.061351682 | 0.061351682 [6] [7] 0.451801090 - 0.451801105 [7] [8] 0.581465169 - 0.581465199 [8] actual$seM1$Item10 | expected$seM1$Item10 [1] 0.351055523 - 0.351055765 [1] [2] 0.581606548 - 0.581607061 [2] [3] 0.516361714 - 0.516361846 [3] [4] 0.823666984 - 0.823667368 [4] [5] 0.206605973 - 0.206606165 [5] [6] 0.343638938 - 0.343639068 [6] [7] 0.085395167 - 0.085395124 [7] [8] 0.123584937 - 0.123584904 [8] actual$seM1$Item14 | expected$seM1$Item14 [1] 1.135840676 - 1.135840611 [1] [2] 1.064084100 - 1.064083985 [2] [3] 1.315513227 - 1.315513180 [3] [4] 1.305080069 - 1.305079870 [4] [5] 0.190543276 - 0.190543296 [5] [6] 0.196815617 - 0.196815632 [6] [7] 1.344016238 - 1.344016126 [7] [8] 1.388639952 - 1.388639765 [8] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.728175092 - 0.728175304 [1] [2] 0.848810046 - 0.848810111 [2] [3] 0.908598676 - 0.908598925 [3] [4] 1.146434153 - 1.146434270 [4] [5] 0.608242074 - 0.608242329 [5] [6] 0.669353204 - 0.669353421 [6] [7] 0.247191318 - 0.247191623 [7] [8] 0.304365128 - 0.304365254 [8] actual$covM1$Item3 vs expected$covM1$Item3 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item3[1, ] 0.19377209 -0.05648306 -0.19377209 0.05648306 -0.012481388 0.012481388 -0.04274783 0.04274783 + expected$covM1$Item3[1, ] 0.19377209 -0.05648306 -0.19377209 0.05648307 -0.012481388 0.012481389 -0.04274783 0.04274783 - actual$covM1$Item3[2, ] -0.05648306 0.29356054 0.05648307 -0.29356054 0.024052291 -0.024052292 -0.21619775 0.21619775 + expected$covM1$Item3[2, ] -0.05648306 0.29356057 0.05648305 -0.29356057 0.024052293 -0.024052293 -0.21619777 0.21619777 - actual$covM1$Item3[3, ] -0.19377209 0.05648307 0.46258033 -0.22687774 0.012481389 -0.024789302 0.04274783 -0.02494488 + expected$covM1$Item3[3, ] -0.19377209 0.05648305 0.46258029 -0.22687769 0.012481387 -0.024789299 0.04274784 -0.02494490 - actual$covM1$Item3[4, ] 0.05648306 -0.29356054 -0.22687774 0.59582434 -0.024052292 0.037360618 0.21619775 -0.38386280 + expected$covM1$Item3[4, ] 0.05648307 -0.29356057 -0.22687769 0.59582438 -0.024052293 0.037360619 0.21619777 -0.38386284 actual$covM1$Item3[5, ] -0.01248139 0.02405229 0.01248139 -0.02405229 0.002726658 -0.002726658 -0.01500150 0.01500150 - actual$covM1$Item3[6, ] 0.01248139 -0.02405229 -0.02478930 0.03736062 -0.002726658 0.003764029 0.01500150 -0.02091491 + expected$covM1$Item3[6, ] 0.01248139 -0.02405229 -0.02478930 0.03736062 -0.002726658 0.003764029 0.01500150 -0.02091492 - actual$covM1$Item3[7, ] -0.04274783 -0.21619775 0.04274783 0.21619775 -0.015001496 0.015001497 0.20412422 -0.20412422 + expected$covM1$Item3[7, ] -0.04274783 -0.21619777 0.04274784 0.21619777 -0.015001498 0.015001498 0.20412424 -0.20412424 - actual$covM1$Item3[8, ] 0.04274783 0.21619775 -0.02494488 -0.38386280 0.015001496 -0.020914914 -0.20412422 0.33810174 + expected$covM1$Item3[8, ] 0.04274783 0.21619777 -0.02494490 -0.38386284 0.015001498 -0.020914916 -0.20412424 0.33810178 actual$covM1$Item7 vs expected$covM1$Item7 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item7[1, ] 0.614823639 0.2293663 -0.614823638 -0.2293664 0.008075105 -0.008075124 -0.4970702 0.4970703 + expected$covM1$Item7[1, ] 0.614823642 0.2293663 -0.614823640 -0.2293664 0.008075103 -0.008075122 -0.4970702 0.4970702 - actual$covM1$Item7[2, ] 0.229366293 0.6755151 -0.229366295 -0.6755153 0.138826692 -0.138826727 -0.7547800 0.7547802 + expected$covM1$Item7[2, ] 0.229366283 0.6755151 -0.229366285 -0.6755153 0.138826691 -0.138826726 -0.7547800 0.7547801 - actual$covM1$Item7[3, ] -0.614823638 -0.2293663 0.862653820 0.2374453 -0.008075106 -0.011701539 0.4970702 -0.5971977 + expected$covM1$Item7[3, ] -0.614823640 -0.2293663 0.862653823 0.2374453 -0.008075104 -0.011701541 0.4970702 -0.5971977 - actual$covM1$Item7[4, ] -0.229366393 -0.6755153 0.237445350 1.0457479 -0.138826729 0.209479827 0.7547802 -1.0250926 + expected$covM1$Item7[4, ] -0.229366382 -0.6755153 0.237445339 1.0457479 -0.138826728 0.209479826 0.7547802 -1.0250926 - actual$covM1$Item7[5, ] 0.008075105 0.1388267 -0.008075106 -0.1388267 0.032677591 -0.032677598 -0.1403355 0.1403355 + expected$covM1$Item7[5, ] 0.008075103 0.1388267 -0.008075104 -0.1388267 0.032677591 -0.032677598 -0.1403355 0.1403355 - actual$covM1$Item7[6, ] -0.008075124 -0.1388267 -0.011701539 0.2094798 -0.032677598 0.049087804 0.1403356 -0.1855377 + expected$covM1$Item7[6, ] -0.008075122 -0.1388267 -0.011701541 0.2094798 -0.032677598 0.049087804 0.1403356 -0.1855377 - actual$covM1$Item7[7, ] -0.497070165 -0.7547800 0.497070166 0.7547802 -0.140335510 0.140335552 0.9612905 -0.9612907 + expected$covM1$Item7[7, ] -0.497070156 -0.7547800 0.497070157 0.7547802 -0.140335508 0.140335550 0.9612905 -0.9612907 - actual$covM1$Item7[8, ] 0.497070258 0.7547802 -0.597197718 -1.0250926 0.140335539 -0.185537699 -0.9612907 1.2003877 + expected$covM1$Item7[8, ] 0.497070250 0.7547801 -0.597197709 -1.0250926 0.140335537 -0.185537697 -0.9612907 1.2003877 actual$covM1$Item10 vs expected$covM1$Item10 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item10[1, ] 0.123239980 0.004514857 -0.123239997 -0.004514854 -0.03078667 0.03078668 -0.013233328 0.013233328 + expected$covM1$Item10[1, ] 0.123240150 0.004514483 -0.123240156 -0.004514475 -0.03078682 0.03078682 -0.013233311 0.013233312 - actual$covM1$Item10[2, ] 0.004514857 0.338266177 -0.004514783 -0.338266080 0.10337086 -0.10337084 -0.040320605 0.040320587 + expected$covM1$Item10[2, ] 0.004514483 0.338266774 -0.004514401 -0.338266690 0.10337108 -0.10337107 -0.040320596 0.040320576 - actual$covM1$Item10[3, ] -0.123239997 -0.004514783 0.266629420 -0.003080303 0.03078670 -0.07613315 0.013233321 -0.026303372 + expected$covM1$Item10[3, ] -0.123240156 -0.004514401 0.266629556 -0.003080710 0.03078685 -0.07613330 0.013233302 -0.026303354 - actual$covM1$Item10[4, ] -0.004514854 -0.338266080 -0.003080303 0.678427300 -0.10337083 0.24605872 0.040320593 -0.083396058 + expected$covM1$Item10[4, ] -0.004514475 -0.338266690 -0.003080710 0.678427933 -0.10337106 0.24605896 0.040320585 -0.083396045 - actual$covM1$Item10[5, ] -0.030786674 0.103370863 0.030786701 -0.103370833 0.04268603 -0.04268602 -0.010016374 0.010016368 + expected$covM1$Item10[5, ] -0.030786821 0.103371082 0.030786848 -0.103371059 0.04268611 -0.04268610 -0.010016368 0.010016361 - actual$covM1$Item10[6, ] 0.030786679 -0.103370841 -0.076133149 0.246058717 -0.04268602 0.11808772 0.010016371 -0.025064191 + expected$covM1$Item10[6, ] 0.030786824 -0.103371068 -0.076133298 0.246058961 -0.04268610 0.11808781 0.010016366 -0.025064184 - actual$covM1$Item10[7, ] -0.013233328 -0.040320605 0.013233321 0.040320593 -0.01001637 0.01001637 0.007292335 -0.007292332 + expected$covM1$Item10[7, ] -0.013233311 -0.040320596 0.013233302 0.040320585 -0.01001637 0.01001637 0.007292327 -0.007292325 - actual$covM1$Item10[8, ] 0.013233328 0.040320587 -0.026303372 -0.083396058 0.01001637 -0.02506419 -0.007292332 0.015273237 + expected$covM1$Item10[8, ] 0.013233312 0.040320576 -0.026303354 -0.083396045 0.01001636 -0.02506418 -0.007292325 0.015273228 actual$covM1$Item14 vs expected$covM1$Item14 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item14[1, ] 1.29013404 0.5768089 -1.29013406 -0.5768090 0.04202915 -0.04202915 -1.1245255 1.1245256 + expected$covM1$Item14[1, ] 1.29013389 0.5768087 -1.29013390 -0.5768087 0.04202913 -0.04202913 -1.1245253 1.1245253 - actual$covM1$Item14[2, ] 0.57680893 1.1322750 -0.57680896 -1.1322750 0.18988948 -0.18988948 -1.3451776 1.3451777 + expected$covM1$Item14[2, ] 0.57680872 1.1322747 -0.57680876 -1.1322746 0.18988948 -0.18988948 -1.3451774 1.3451773 - actual$covM1$Item14[3, ] -1.29013406 -0.5768090 1.73057505 0.2906895 -0.04202916 0.01751355 1.1245256 -1.1126828 + expected$covM1$Item14[3, ] -1.29013390 -0.5768088 1.73057493 0.2906891 -0.04202914 0.01751352 1.1245253 -1.1126825 - actual$covM1$Item14[4, ] -0.57680897 -1.1322750 0.29068952 1.7032340 -0.18988949 0.21828317 1.3451777 -1.5619911 + expected$covM1$Item14[4, ] -0.57680865 -1.1322746 0.29068913 1.7032335 -0.18988947 0.21828314 1.3451772 -1.5619906 - actual$covM1$Item14[5, ] 0.04202915 0.1898895 -0.04202916 -0.1898895 0.03630674 -0.03630674 -0.2049982 0.2049982 + expected$covM1$Item14[5, ] 0.04202913 0.1898895 -0.04202914 -0.1898895 0.03630675 -0.03630675 -0.2049982 0.2049982 - actual$covM1$Item14[6, ] -0.04202915 -0.1898895 0.01751355 0.2182832 -0.03630674 0.03873639 0.2049982 -0.2135040 + expected$covM1$Item14[6, ] -0.04202913 -0.1898895 0.01751352 0.2182831 -0.03630675 0.03873639 0.2049982 -0.2135040 - actual$covM1$Item14[7, ] -1.12452553 -1.3451776 1.12452558 1.3451777 -0.20499822 0.20499822 1.8063796 -1.8063797 + expected$covM1$Item14[7, ] -1.12452529 -1.3451774 1.12452534 1.3451772 -0.20499822 0.20499821 1.8063793 -1.8063793 - actual$covM1$Item14[8, ] 1.12452556 1.3451777 -1.11268281 -1.5619911 0.20499822 -0.21350402 -1.8063797 1.9283209 + expected$covM1$Item14[8, ] 1.12452525 1.3451773 -1.11268248 -1.5619906 0.20499821 -0.21350400 -1.8063793 1.9283204 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item15[1, ] 0.53023897 -0.2644581 -0.530238888 0.2644581 -0.3092353 0.3092353 0.01617559 -0.016175610 + expected$covM1$Item15[1, ] 0.53023927 -0.2644582 -0.530239287 0.2644583 -0.3092356 0.3092356 0.01617564 -0.016175658 - actual$covM1$Item15[2, ] -0.26445808 0.7204785 0.264458013 -0.7204785 0.4833455 -0.4833455 -0.19288761 0.192887623 + expected$covM1$Item15[2, ] -0.26445820 0.7204786 0.264458183 -0.7204786 0.4833458 -0.4833458 -0.19288788 0.192887899 - actual$covM1$Item15[3, ] -0.53023889 0.2644580 0.825551555 -0.3536824 0.3092353 -0.3924074 -0.01617558 -0.002780452 + expected$covM1$Item15[3, ] -0.53023929 0.2644582 0.825552007 -0.3536826 0.3092355 -0.3924076 -0.01617563 -0.002780406 - actual$covM1$Item15[4, ] 0.26445811 -0.7204785 -0.353682443 1.3143113 -0.4833455 0.6797859 0.19288760 -0.313304948 + expected$covM1$Item15[4, ] 0.26445825 -0.7204786 -0.353682554 1.3143115 -0.4833458 0.6797861 0.19288787 -0.313305071 - actual$covM1$Item15[5, ] -0.30923534 0.4833455 0.309235279 -0.4833455 0.3699584 -0.3699584 -0.11567040 0.115670409 + expected$covM1$Item15[5, ] -0.30923555 0.4833458 0.309235547 -0.4833458 0.3699587 -0.3699587 -0.11567060 0.115670621 - actual$covM1$Item15[6, ] 0.30923533 -0.4833455 -0.392407368 0.6797859 -0.3699584 0.4480337 0.11567039 -0.150130266 + expected$covM1$Item15[6, ] 0.30923557 -0.4833458 -0.392407610 0.6797861 -0.3699587 0.4480340 0.11567061 -0.150130417 - actual$covM1$Item15[7, ] 0.01617559 -0.1928876 -0.016175581 0.1928876 -0.1156704 0.1156704 0.06110355 -0.061103549 + expected$covM1$Item15[7, ] 0.01617564 -0.1928879 -0.016175634 0.1928879 -0.1156706 0.1156706 0.06110370 -0.061103703 - actual$covM1$Item15[8, ] -0.01617561 0.1928876 -0.002780452 -0.3133049 0.1156704 -0.1501303 -0.06110355 0.092638131 + expected$covM1$Item15[8, ] -0.01617566 0.1928879 -0.002780406 -0.3133051 0.1156706 -0.1501304 -0.06110370 0.092638208 ── Failure ('test-difNLR.R:627:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `fit12b` to equal `fit12b_expected`. Differences: actual$nlrPAR[[8]] | expected$nlrPAR[[8]] [1] -1.473002929 - -1.473002943 [1] [2] 1.651804345 - 1.651803928 [2] [3] -0.848182294 - -0.848182273 [3] [4] -0.360238142 - -0.360237731 [4] [5] 0.038413515 - 0.038413500 [5] [6] -0.038413515 - -0.038413500 [6] [7] 0.595815199 - 0.595815294 [7] [8] 0.075980853 - 0.075980758 [8] actual$nlrSE[[8]] | expected$nlrSE[[8]] [1] 0.808569956 - 0.808569903 [1] [2] 1.178169245 - 1.178169081 [2] [3] 1.279002730 - 1.279002650 [3] [4] 1.615576373 - 1.615576221 [4] [5] 0.073752562 - 0.073752582 [5] [6] 0.098389886 - 0.098389898 [6] [7] 0.239957143 - 0.239957276 [7] [8] 0.629422768 - 0.629422823 [8] `actual$parM0$Item3`: -2.675261061 1.244052278 0.012796029 1.000000000 `expected$parM0$Item3`: -2.675261125 1.244052309 0.012796033 1.000000000 `actual$seM0$Item3`: 0.614646256 0.667965478 0.044831991 0.751300809 `expected$seM0$Item3`: 0.614646232 0.667965449 0.044831989 0.751300770 `actual$seM0$Item11`: 0.563259467 0.797881387 0.586945683 0.068677472 `expected$seM0$Item11`: 0.563259429 0.797881417 0.586945703 0.068677471 actual$covM0$Item3 vs expected$covM0$Item3 [,1] [,2] [,3] [,4] - actual$covM0$Item3[1, ] 0.37779002 -0.03882075 -0.011412620 -0.16276770 + expected$covM0$Item3[1, ] 0.37778999 -0.03882075 -0.011412619 -0.16276770 - actual$covM0$Item3[2, ] -0.03882075 0.44617788 0.025013290 -0.44524259 + expected$covM0$Item3[2, ] -0.03882075 0.44617784 0.025013287 -0.44524254 - actual$covM0$Item3[3, ] -0.01141262 0.02501329 0.002009907 -0.02115141 + expected$covM0$Item3[3, ] -0.01141262 0.02501329 0.002009907 -0.02115140 - actual$covM0$Item3[4, ] -0.16276770 -0.44524259 -0.021151406 0.56445290 + expected$covM0$Item3[4, ] -0.16276770 -0.44524254 -0.021151403 0.56445285 actual$covM0$Item11 vs expected$covM0$Item11 [,1] [,2] [,3] [,4] - actual$covM0$Item11[1, ] 0.31726123 -0.05669515 -0.16785082 -0.011100733 + expected$covM0$Item11[1, ] 0.31726118 -0.05669517 -0.16785082 -0.011100729 - actual$covM0$Item11[2, ] -0.05669515 0.63661471 0.42438104 -0.044653974 + expected$covM0$Item11[2, ] -0.05669517 0.63661475 0.42438108 -0.044653976 - actual$covM0$Item11[3, ] -0.16785082 0.42438104 0.34450524 -0.024960115 + expected$covM0$Item11[3, ] -0.16785082 0.42438108 0.34450526 -0.024960118 - actual$covM0$Item11[4, ] -0.01110073 -0.04465397 -0.02496011 0.004716595 + expected$covM0$Item11[4, ] -0.01110073 -0.04465398 -0.02496012 0.004716595 actual$parM1$Item1 | expected$parM1$Item1 [1] -1.189848991 - -1.189848984 [1] [2] 1.145283434 - 1.145283431 [2] [3] -0.817141498 - -0.817141592 [3] [4] 0.723674493 - 0.723674568 [4] [5] 0.000000000 | 0.000000000 [5] [6] 0.062796987 - 0.062796995 [6] [7] 1.000000000 | 1.000000000 [7] [8] 0.000000000 | 0.000000000 [8] actual$parM1$Item4 | expected$parM1$Item4 [1] -1.567209923 - -1.567209311 [1] [2] 1.903818995 - 1.903817654 [2] [3] 1.011419581 - 1.011419036 [3] [4] -0.062105562 - -0.062104333 [4] [5] 0.112839514 - 0.112839428 [5] [6] -0.112839514 - -0.112839428 [6] [7] 0.971993138 - 0.971993376 [7] [8] -0.036729069 - -0.036729310 [8] actual$parM1$Item8 | expected$parM1$Item8 [1] -1.473002929 - -1.473002943 [1] [2] 1.651804345 - 1.651803928 [2] [3] -0.848182294 - -0.848182273 [3] [4] -0.360238142 - -0.360237731 [4] [5] 0.038413515 - 0.038413500 [5] [6] -0.038413515 - -0.038413500 [6] [7] 0.595815199 - 0.595815294 [7] [8] 0.075980853 - 0.075980758 [8] actual$seM1$Item1 | expected$seM1$Item1 [1] 0.670888292 - 0.670888296 [1] [2] 0.914399661 - 0.914399690 [2] [3] 0.919702014 - 0.919702008 [3] [4] 1.205226878 - 1.205226952 [4] [5] 0.162430339 - 0.162430342 [5] [6] 0.173488584 - 0.173488588 [6] [7] 0.587907036 - 0.587907052 [7] [8] 0.631979686 - 0.631979699 [8] actual$seM1$Item4 | expected$seM1$Item4 [1] 0.642819527 - 0.642819304 [1] [2] 0.961230077 - 0.961229614 [2] [3] 0.762108561 - 0.762108396 [3] [4] 1.213841240 - 1.213840174 [4] [5] 0.078494417 - 0.078494480 [5] [6] 0.125287868 - 0.125287890 [6] [7] 0.234655852 - 0.234656108 [7] [8] 0.271485350 - 0.271485545 [8] actual$seM1$Item8 | expected$seM1$Item8 [1] 0.808569956 - 0.808569903 [1] [2] 1.178169245 - 1.178169081 [2] [3] 1.279002730 - 1.279002650 [3] [4] 1.615576373 - 1.615576221 [4] [5] 0.073752562 - 0.073752582 [5] [6] 0.098389886 - 0.098389898 [6] [7] 0.239957143 - 0.239957276 [7] [8] 0.629422768 - 0.629422823 [8] actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item1[1, ] 0.45009110 -0.04294095 -0.45009111 0.04294097 -0.04683519 0.04683519 -0.13218541 0.13218540 + expected$covM1$Item1[1, ] 0.45009111 -0.04294095 -0.45009110 0.04294095 -0.04683519 0.04683519 -0.13218541 0.13218541 - actual$covM1$Item1[2, ] -0.04294095 0.83612674 0.04294093 -0.83612674 0.13124319 -0.13124319 -0.48351911 0.48351911 + expected$covM1$Item1[2, ] -0.04294095 0.83612679 0.04294097 -0.83612682 0.13124320 -0.13124320 -0.48351914 0.48351914 - actual$covM1$Item1[3, ] -0.45009111 0.04294093 0.84585180 -0.38087451 0.04683519 -0.07680061 0.13218542 -0.11288995 + expected$covM1$Item1[3, ] -0.45009110 0.04294097 0.84585178 -0.38087457 0.04683519 -0.07680061 0.13218540 -0.11288993 - actual$covM1$Item1[4, ] 0.04294097 -0.83612674 -0.38087451 1.45257183 -0.13124319 0.16413812 0.48351911 -0.62169505 + expected$covM1$Item1[4, ] 0.04294095 -0.83612682 -0.38087457 1.45257200 -0.13124320 0.16413813 0.48351916 -0.62169511 - actual$covM1$Item1[5, ] -0.04683519 0.13124319 0.04683519 -0.13124319 0.02638361 -0.02638361 -0.06496814 0.06496814 + expected$covM1$Item1[5, ] -0.04683519 0.13124320 0.04683519 -0.13124320 0.02638362 -0.02638362 -0.06496814 0.06496814 - actual$covM1$Item1[6, ] 0.04683519 -0.13124319 -0.07680061 0.16413812 -0.02638361 0.03009829 0.06496814 -0.07041179 + expected$covM1$Item1[6, ] 0.04683519 -0.13124320 -0.07680061 0.16413813 -0.02638362 0.03009829 0.06496814 -0.07041180 - actual$covM1$Item1[7, ] -0.13218541 -0.48351911 0.13218542 0.48351911 -0.06496814 0.06496814 0.34563468 -0.34563468 + expected$covM1$Item1[7, ] -0.13218541 -0.48351914 0.13218540 0.48351916 -0.06496814 0.06496814 0.34563470 -0.34563470 - actual$covM1$Item1[8, ] 0.13218540 0.48351911 -0.11288995 -0.62169505 0.06496814 -0.07041179 -0.34563468 0.39939832 + expected$covM1$Item1[8, ] 0.13218541 0.48351914 -0.11288993 -0.62169511 0.06496814 -0.07041180 -0.34563470 0.39939834 actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item4[1, ] 0.413216944 -0.35539902 -0.413216941 0.35539899 -0.039550690 0.039550686 0.008273772 -0.008273776 + expected$covM1$Item4[1, ] 0.413216657 -0.35539845 -0.413216667 0.35539821 -0.039550703 0.039550689 0.008273723 -0.008273715 - actual$covM1$Item4[2, ] -0.355399016 0.92396326 0.355398995 -0.92396316 0.056609039 -0.056609025 -0.179534054 0.179534064 + expected$covM1$Item4[2, ] -0.355398450 0.92396237 0.355398486 -0.92396174 0.056609075 -0.056609036 -0.179534198 0.179534178 - actual$covM1$Item4[3, ] -0.413216941 0.35539900 0.580809459 -0.45634154 0.039550690 -0.066430525 -0.008273767 -0.004042090 + expected$covM1$Item4[3, ] -0.413216667 0.35539849 0.580809207 -0.45634078 0.039550705 -0.066430533 -0.008273730 -0.004042139 - actual$covM1$Item4[4, ] 0.355398986 -0.92396316 -0.456341540 1.47341056 -0.056609033 0.111534391 0.179534031 -0.255284750 + expected$covM1$Item4[4, ] 0.355398213 -0.92396174 -0.456340783 1.47340797 -0.056609036 0.111534329 0.179534074 -0.255284706 - actual$covM1$Item4[5, ] -0.039550690 0.05660904 0.039550690 -0.05660903 0.006161374 -0.006161373 -0.008446771 0.008446772 + expected$covM1$Item4[5, ] -0.039550703 0.05660907 0.039550705 -0.05660904 0.006161383 -0.006161381 -0.008446793 0.008446792 - actual$covM1$Item4[6, ] 0.039550686 -0.05660903 -0.066430525 0.11153439 -0.006161373 0.015697050 0.008446769 -0.014274250 + expected$covM1$Item4[6, ] 0.039550689 -0.05660904 -0.066430533 0.11153433 -0.006161381 0.015697055 0.008446786 -0.014274262 - actual$covM1$Item4[7, ] 0.008273772 -0.17953405 -0.008273767 0.17953403 -0.008446771 0.008446769 0.055063369 -0.055063371 + expected$covM1$Item4[7, ] 0.008273723 -0.17953420 -0.008273730 0.17953407 -0.008446793 0.008446786 0.055063489 -0.055063485 - actual$covM1$Item4[8, ] -0.008273776 0.17953406 -0.004042090 -0.25528475 0.008446772 -0.014274250 -0.055063371 0.073704295 + expected$covM1$Item4[8, ] -0.008273715 0.17953418 -0.004042139 -0.25528471 0.008446792 -0.014274262 -0.055063485 0.073704401 actual$covM1$Item8 vs expected$covM1$Item8 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item8[1, ] 0.653785373 -0.44925205 -0.653785394 0.44925206 -0.044383938 0.044383939 -0.005709065 0.005709062 + expected$covM1$Item8[1, ] 0.653785288 -0.44925180 -0.653785274 0.44925181 -0.044383941 0.044383942 -0.005709095 0.005709083 - actual$covM1$Item8[2, ] -0.449252053 1.38808277 0.449252097 -1.38808280 0.068811546 -0.068811549 -0.234050242 0.234050264 + expected$covM1$Item8[2, ] -0.449251797 1.38808238 0.449251736 -1.38808240 0.068811560 -0.068811561 -0.234050353 0.234050386 - actual$covM1$Item8[3, ] -0.653785394 0.44925210 1.635847984 -0.89312052 0.044383940 -0.087214992 0.005709058 -0.055455606 + expected$covM1$Item8[3, ] -0.653785274 0.44925174 1.635847779 -0.89312006 0.044383938 -0.087214985 0.005709106 -0.055455691 - actual$covM1$Item8[4, ] 0.449252059 -1.38808280 -0.893120524 2.61008702 -0.068811547 0.126921855 0.234050248 -0.784526730 + expected$covM1$Item8[4, ] 0.449251805 -1.38808240 -0.893120064 2.61008653 -0.068811561 0.126921862 0.234050355 -0.784526835 - actual$covM1$Item8[5, ] -0.044383938 0.06881155 0.044383940 -0.06881155 0.005439440 -0.005439441 -0.009165172 0.009165173 + expected$covM1$Item8[5, ] -0.044383941 0.06881156 0.044383938 -0.06881156 0.005439443 -0.005439443 -0.009165181 0.009165183 - actual$covM1$Item8[6, ] 0.044383939 -0.06881155 -0.087214992 0.12692186 -0.005439441 0.009680570 0.009165173 -0.030676575 + expected$covM1$Item8[6, ] 0.044383942 -0.06881156 -0.087214985 0.12692186 -0.005439443 0.009680572 0.009165181 -0.030676583 - actual$covM1$Item8[7, ] -0.005709065 -0.23405024 0.005709058 0.23405025 -0.009165172 0.009165173 0.057579431 -0.057579435 + expected$covM1$Item8[7, ] -0.005709095 -0.23405035 0.005709106 0.23405035 -0.009165181 0.009165181 0.057579494 -0.057579500 - actual$covM1$Item8[8, ] 0.005709062 0.23405026 -0.055455606 -0.78452673 0.009165173 -0.030676575 -0.057579435 0.396173021 + expected$covM1$Item8[8, ] 0.005709083 0.23405039 -0.055455691 -0.78452683 0.009165183 -0.030676583 -0.057579500 0.396173090 ── Failure ('test-difORD.R:14:3'): difORD - examples at help page ────────────── Expected `fit1` to equal `fit1_expected`. Differences: actual$ordPAR$R24 | expected$ordPAR$R24 [1] 0.067726993 - 0.067726984 [1] [2] -1.295691816 - -1.295691792 [2] [3] -3.713274816 - -3.713274756 [3] [4] -5.405622049 - -5.405621944 [4] [5] 1.824596604 - 1.824596577 [5] actual$parM0$R24 | expected$parM0$R24 [1] 0.067726993 - 0.067726984 [1] [2] -1.295691816 - -1.295691792 [2] [3] -3.713274816 - -3.713274756 [3] [4] -5.405622049 - -5.405621944 [4] [5] 1.824596604 - 1.824596577 [5] actual$parM1$R5 | expected$parM1$R5 [1] -1.893765319 - -1.893765389 [1] [2] -1.392489884 - -1.392490077 [2] [3] -4.199838848 - -4.199839090 [3] [4] -4.752433837 - -4.752434170 [4] [5] 1.577181608 - 1.577181728 [5] [6] 0.126040241 - 0.126040306 [6] [7] -0.147234071 - -0.147234119 [7] actual$parM1$R17 | expected$parM1$R17 [1] -2.859095215 - -2.859095114 [1] [2] -4.474701323 - -4.474701157 [2] [3] -6.617934018 - -6.617933791 [3] [4] -7.683710538 - -7.683710147 [4] [5] 1.973534320 - 1.973534245 [5] [6] 0.391732910 - 0.391732843 [6] [7] -0.103073650 - -0.103073618 [7] ── Failure ('test-difORD.R:49:3'): difORD - examples at help page ────────────── Expected `fit2` to equal `fit2_expected`. Differences: actual$ordPAR$R24 | expected$ordPAR$R24 [1] 0.067726993 - 0.067726984 [1] [2] -1.295691816 - -1.295691792 [2] [3] -3.713274816 - -3.713274756 [3] [4] -5.405622049 - -5.405621944 [4] [5] 1.824596604 - 1.824596577 [5] actual$parM0$R24 | expected$parM0$R24 [1] 0.067726993 - 0.067726984 [1] [2] -1.295691816 - -1.295691792 [2] [3] -3.713274816 - -3.713274756 [3] [4] -5.405622049 - -5.405621944 [4] [5] 1.824596604 - 1.824596577 [5] actual$parM1$R5 | expected$parM1$R5 [1] -1.893765319 - -1.893765389 [1] [2] -1.392489884 - -1.392490077 [2] [3] -4.199838848 - -4.199839090 [3] [4] -4.752433837 - -4.752434170 [4] [5] 1.577181608 - 1.577181728 [5] [6] 0.126040241 - 0.126040306 [6] [7] -0.147234071 - -0.147234119 [7] actual$parM1$R17 | expected$parM1$R17 [1] -2.859095215 - -2.859095114 [1] [2] -4.474701323 - -4.474701157 [2] [3] -6.617934018 - -6.617933791 [3] [4] -7.683710538 - -7.683710147 [4] [5] 1.973534320 - 1.973534245 [5] [6] 0.391732910 - 0.391732843 [6] [7] -0.103073650 - -0.103073618 [7] ── Failure ('test-difORD.R:55:3'): difORD - examples at help page ────────────── Expected `fit3` to equal `fit3_expected`. Differences: actual$parM1$R28 | expected$parM1$R28 [1] 0.412218785 - 0.412218766 [1] [2] -0.482838864 - -0.482838851 [2] [3] -3.206750000 - -3.206749935 [3] [4] -6.095092281 - -6.095092076 [4] [5] 1.949128977 - 1.949128942 [5] [6] 0.220172658 - 0.220172657 [6] [7] -0.108002478 - -0.108002479 [7] ── Failure ('test-difORD.R:61:3'): difORD - examples at help page ────────────── Expected `fit4` to equal `fit4_expected`. Differences: actual$ordPAR$R24 | expected$ordPAR$R24 [1] 0.067726993 - 0.067726984 [1] [2] -1.295691816 - -1.295691792 [2] [3] -3.713274816 - -3.713274756 [3] [4] -5.405622049 - -5.405621944 [4] [5] 1.824596604 - 1.824596577 [5] actual$parM0$R24 | expected$parM0$R24 [1] 0.067726993 - 0.067726984 [1] [2] -1.295691816 - -1.295691792 [2] [3] -3.713274816 - -3.713274756 [3] [4] -5.405622049 - -5.405621944 [4] [5] 1.824596604 - 1.824596577 [5] ── Failure ('test-difORD.R:67:3'): difORD - examples at help page ────────────── Expected `fit5` to equal `fit5_expected`. Differences: actual$parM1$R5 | expected$parM1$R5 [1] -1.893765319 - -1.893765389 [1] [2] -1.392489884 - -1.392490077 [2] [3] -4.199838848 - -4.199839090 [3] [4] -4.752433837 - -4.752434170 [4] [5] 1.577181608 - 1.577181728 [5] [6] 0.126040241 - 0.126040306 [6] [7] -0.147234071 - -0.147234119 [7] actual$parM1$R17 | expected$parM1$R17 [1] -2.859095215 - -2.859095114 [1] [2] -4.474701323 - -4.474701157 [2] [3] -6.617934018 - -6.617933791 [3] [4] -7.683710538 - -7.683710147 [4] [5] 1.973534320 - 1.973534245 [5] [6] 0.391732910 - 0.391732843 [6] [7] -0.103073650 - -0.103073618 [7] ── Failure ('test-difORD.R:73:3'): difORD - examples at help page ────────────── Expected `fit6` to equal `fit6_expected`. Differences: actual$ordPAR$R28 | expected$ordPAR$R28 [1] -4.121246755 - -4.121246690 [1] [2] -4.950121086 - -4.950120991 [2] [3] -7.704178990 - -7.704178841 [3] [4] -10.667119450 - -10.667119165 [4] [5] 0.093639175 - 0.093639173 [5] actual$parM0$R20 | expected$parM0$R20 [1] -5.683252711 - -5.683253024 [1] [2] -6.437898816 - -6.437899279 [2] [3] -8.982539929 - -8.982540492 [3] [4] -10.651801297 - -10.651801994 [4] [5] 0.091752686 - 0.091752692 [5] actual$parM0$R28 | expected$parM0$R28 [1] -4.121246755 - -4.121246690 [1] [2] -4.950121086 - -4.950120991 [2] [3] -7.704178990 - -7.704178841 [3] [4] -10.667119450 - -10.667119165 [4] [5] 0.093639175 - 0.093639173 [5] [ FAIL 23 | WARN 1 | SKIP 16 | PASS 319 ] Deleting unused snapshots: 'difNLR/plot-fit1-gen.svg', 'difNLR/plot-fit2-gen.svg', and 'difNLR/plot-stat-gen.svg' Error: ! Test failures. Execution halted Flavor: r-release-linux-x86_64