Last updated on 2025-12-06 00:49:03 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.7.4 | 20.99 | 229.80 | 250.79 | OK | |
| r-devel-linux-x86_64-debian-gcc | 0.7.4 | 12.72 | 56.16 | 68.88 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.7.4 | 118.00 | 291.28 | 409.28 | OK | |
| r-devel-linux-x86_64-fedora-gcc | 0.7.4 | 67.00 | 449.65 | 516.65 | OK | |
| r-devel-windows-x86_64 | 0.7.4 | 20.00 | 233.00 | 253.00 | OK | |
| r-patched-linux-x86_64 | 0.7.4 | 18.18 | 211.07 | 229.25 | OK | |
| r-release-linux-x86_64 | 0.7.4 | 18.84 | 212.35 | 231.19 | OK | |
| r-release-macos-arm64 | 0.7.4 | OK | ||||
| r-release-macos-x86_64 | 0.7.4 | 22.00 | 257.00 | 279.00 | OK | |
| r-release-windows-x86_64 | 0.7.4 | 21.00 | 232.00 | 253.00 | OK | |
| r-oldrel-macos-arm64 | 0.7.4 | OK | ||||
| r-oldrel-macos-x86_64 | 0.7.4 | 15.00 | 347.00 | 362.00 | OK | |
| r-oldrel-windows-x86_64 | 0.7.4 | 30.00 | 311.00 | 341.00 | OK |
Version: 0.7.4
Check: package dependencies
Result: WARN
Cannot process vignettes
Packages suggested but not available for checking:
'arm', 'bestglm', 'gaselect', 'glmnet', 'kableExtra', 'knitr',
'lme4', 'sensitivity', 'shrinkTVP', 'rmarkdown'
VignetteBuilder package required for checking but not installed: ‘knitr’
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.7.4
Check: examples
Result: ERROR
Running examples in ‘tidyfit-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: classify
> ### Title: Classification on tidy data
> ### Aliases: classify
>
> ### ** Examples
>
> data <- tidyfit::Factor_Industry_Returns
> data <- dplyr::mutate(data, Return = ifelse(Return > 0, 1, 0))
> fit <- classify(data, Return ~ ., m("lasso", lambda = c(0.001, 0.1)), .mask = c("Date", "Industry"))
Error in m("lasso", lambda = c(0.001, 0.1)) :
Package 'glmnet' is required for method 'lasso'. Run install.packages('glmnet').
Calls: classify -> m
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.7.4
Check: tests
Result: ERROR
Running ‘testthat.R’ [13s/13s]
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/tests.html
> # * https://testthat.r-lib.org/reference/test_package.html#special-files
>
> library(testthat)
> library(tidyfit)
>
> test_check("tidyfit")
Attaching package: 'dplyr'
The following object is masked from 'package:tidyfit':
explain
The following objects are masked from 'package:stats':
filter, lag
The following objects are masked from 'package:base':
intersect, setdiff, setequal, union
Saving _problems/test-adalasso-8.R
Saving _problems/test-adalasso-22.R
Saving _problems/test-adalasso-35.R
Saving _problems/test-bayes-8.R
Saving _problems/test-bayes-22.R
Saving _problems/test-enet-8.R
Saving _problems/test-enet-22.R
Saving _problems/test-enet-35.R
Saving _problems/test-glmm-5.R
Saving _problems/test-glmm-19.R
Saving _problems/test-lasso-8.R
Saving _problems/test-lasso-22.R
Saving _problems/test-lasso-35.R
Saving _problems/test-ridge-8.R
Saving _problems/test-ridge-22.R
Saving _problems/test-ridge-35.R
[ FAIL 16 | WARN 0 | SKIP 0 | PASS 115 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-adalasso.R:8:3'): adalasso regression works ────────────────────
Error in `m("adalasso", medv ~ ., df_reg, lambda = c(0.1))`: Package 'glmnet' is required for method 'adalasso'. Run install.packages('glmnet').
Backtrace:
▆
1. └─tidyfit::m("adalasso", medv ~ ., df_reg, lambda = c(0.1)) at test-adalasso.R:8:3
── Error ('test-adalasso.R:22:3'): adalasso classification works ───────────────
Error in `m("adalasso", lambda = c(0.1))`: Package 'glmnet' is required for method 'adalasso'. Run install.packages('glmnet').
Backtrace:
▆
1. ├─tidyfit::classify(df_cls3, Species ~ ., m("adalasso", lambda = c(0.1))) at test-adalasso.R:22:3
2. └─tidyfit::m("adalasso", lambda = c(0.1))
── Error ('test-adalasso.R:35:3'): adalasso classification (2class) works ──────
Error in `m("adalasso", lambda = c(0.01))`: Package 'glmnet' is required for method 'adalasso'. Run install.packages('glmnet').
Backtrace:
▆
1. ├─tidyfit::classify(df_cls2, Species ~ ., m("adalasso", lambda = c(0.01))) at test-adalasso.R:35:3
2. └─tidyfit::m("adalasso", lambda = c(0.01))
── Error ('test-bayes.R:8:3'): bayes regression works ──────────────────────────
Error in `m("bayes", medv ~ ., df_reg)`: Package 'arm' is required for method 'bayes'. Run install.packages('arm').
Backtrace:
▆
1. └─tidyfit::m("bayes", medv ~ ., df_reg) at test-bayes.R:8:3
── Error ('test-bayes.R:22:3'): bayes classification works ─────────────────────
Error in `m("bayes")`: Package 'arm' is required for method 'bayes'. Run install.packages('arm').
Backtrace:
▆
1. ├─tidyfit::classify(df_cls2, Species ~ ., m("bayes")) at test-bayes.R:22:3
2. └─tidyfit::m("bayes")
── Error ('test-enet.R:8:3'): enet regression works ────────────────────────────
Error in `m("enet", medv ~ ., df_reg, lambda = c(0.1), alpha = 0.1)`: Package 'glmnet' is required for method 'enet'. Run install.packages('glmnet').
Backtrace:
▆
1. └─tidyfit::m("enet", medv ~ ., df_reg, lambda = c(0.1), alpha = 0.1) at test-enet.R:8:3
── Error ('test-enet.R:22:3'): enet classification works ───────────────────────
Error in `m("enet", lambda = c(0.1), alpha = 0.1)`: Package 'glmnet' is required for method 'enet'. Run install.packages('glmnet').
Backtrace:
▆
1. ├─tidyfit::classify(...) at test-enet.R:22:3
2. └─tidyfit::m("enet", lambda = c(0.1), alpha = 0.1)
── Error ('test-enet.R:35:3'): enet classification (2class) works ──────────────
Error in `m("enet", lambda = c(0.01), alpha = 0.1)`: Package 'glmnet' is required for method 'enet'. Run install.packages('glmnet').
Backtrace:
▆
1. ├─tidyfit::classify(...) at test-enet.R:35:3
2. └─tidyfit::m("enet", lambda = c(0.01), alpha = 0.1)
── Error ('test-glmm.R:5:3'): glmm regression works ────────────────────────────
Error in `m("glmm", Return ~ `Mkt-RF` + `Mkt-RF` | Industry, df_reg)`: Package 'lme4' is required for method 'glmm'. Run install.packages('lme4').
Backtrace:
▆
1. └─tidyfit::m("glmm", Return ~ `Mkt-RF` + `Mkt-RF` | Industry, df_reg) at test-glmm.R:5:3
── Error ('test-glmm.R:19:3'): glm classification works ────────────────────────
Error in `m("glmm")`: Package 'lme4' is required for method 'glmm'. Run install.packages('lme4').
Backtrace:
▆
1. ├─tidyfit::classify(df_reg, Return ~ CMA + CMA | Industry, m("glmm")) at test-glmm.R:19:3
2. └─tidyfit::m("glmm")
── Error ('test-lasso.R:8:3'): lasso regression works ──────────────────────────
Error in `m("lasso", medv ~ ., df_reg, lambda = c(0.1))`: Package 'glmnet' is required for method 'lasso'. Run install.packages('glmnet').
Backtrace:
▆
1. └─tidyfit::m("lasso", medv ~ ., df_reg, lambda = c(0.1)) at test-lasso.R:8:3
── Error ('test-lasso.R:22:3'): lasso classification works ─────────────────────
Error in `m("lasso", lambda = c(0.1))`: Package 'glmnet' is required for method 'lasso'. Run install.packages('glmnet').
Backtrace:
▆
1. ├─tidyfit::classify(df_cls3, Species ~ ., m("lasso", lambda = c(0.1))) at test-lasso.R:22:3
2. └─tidyfit::m("lasso", lambda = c(0.1))
── Error ('test-lasso.R:35:3'): lasso classification (2class) works ────────────
Error in `m("lasso", lambda = c(0.01))`: Package 'glmnet' is required for method 'lasso'. Run install.packages('glmnet').
Backtrace:
▆
1. ├─tidyfit::classify(df_cls2, Species ~ ., m("lasso", lambda = c(0.01))) at test-lasso.R:35:3
2. └─tidyfit::m("lasso", lambda = c(0.01))
── Error ('test-ridge.R:8:3'): ridge regression works ──────────────────────────
Error in `m("ridge", medv ~ ., df_reg, lambda = c(0.1))`: Package 'glmnet' is required for method 'ridge'. Run install.packages('glmnet').
Backtrace:
▆
1. └─tidyfit::m("ridge", medv ~ ., df_reg, lambda = c(0.1)) at test-ridge.R:8:3
── Error ('test-ridge.R:22:3'): ridge classification works ─────────────────────
Error in `m("ridge", lambda = c(0.1))`: Package 'glmnet' is required for method 'ridge'. Run install.packages('glmnet').
Backtrace:
▆
1. ├─tidyfit::classify(df_cls3, Species ~ ., m("ridge", lambda = c(0.1))) at test-ridge.R:22:3
2. └─tidyfit::m("ridge", lambda = c(0.1))
── Error ('test-ridge.R:35:3'): ridge classification (2class) works ────────────
Error in `m("ridge", lambda = c(0.01))`: Package 'glmnet' is required for method 'ridge'. Run install.packages('glmnet').
Backtrace:
▆
1. ├─tidyfit::classify(df_cls2, Species ~ ., m("ridge", lambda = c(0.01))) at test-ridge.R:35:3
2. └─tidyfit::m("ridge", lambda = c(0.01))
[ FAIL 16 | WARN 0 | SKIP 0 | PASS 115 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.7.4
Check: package vignettes
Result: NOTE
Package has ‘vignettes’ subdirectory but apparently no vignettes.
Perhaps the ‘VignetteBuilder’ information is missing from the
DESCRIPTION file?
Flavor: r-devel-linux-x86_64-debian-gcc