CRAN Package Check Results for Package maxLik

Last updated on 2024-06-13 00:55:22 CEST.

Flavor	Version	T_install	T_check	T_total	Status
r-devel-linux-x86_64-debian-clang	1.5-2.1	9.39	140.37	149.76	OK
r-devel-linux-x86_64-debian-gcc	1.5-2.1	6.94	96.64	103.58	ERROR
r-devel-linux-x86_64-fedora-clang	1.5-2.1			180.62	OK
r-devel-linux-x86_64-fedora-gcc	1.5-2.1			179.11	OK
r-devel-windows-x86_64	1.5-2.1	8.00	154.00	162.00	OK
r-patched-linux-x86_64	1.5-2.1	12.44	130.96	143.40	OK
r-release-linux-x86_64	1.5-2.1	9.01	128.78	137.79	OK
r-release-macos-arm64	1.5-2.1			57.00	WARN
r-release-macos-x86_64	1.5-2.1			109.00	OK
r-release-windows-x86_64	1.5-2.1	8.00	155.00	163.00	OK
r-oldrel-macos-arm64	1.5-2.1			71.00	NOTE
r-oldrel-macos-x86_64	1.5-2.1			202.00	OK
r-oldrel-windows-x86_64	1.5-2.1	9.00	164.00	173.00	OK

Check Details

Version: 1.5-2.1
Check: package dependencies
Result: NOTE Package suggested but not available for checking: ‘tibble’ Flavor: r-devel-linux-x86_64-debian-gcc

Version: 1.5-2.1
Check: examples
Result: ERROR Running examples in ‘maxLik-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: tidy.maxLik > ### Title: tidy and glance methods for maxLik objects > ### Aliases: tidy.maxLik glance.maxLik > > ### ** Examples > > ## Example with a single parameter > t <- rexp(100, 2) > loglik <- function(theta) log(theta) - theta*t > a <- maxLik(loglik, start=2) > tidy(a) Error in require_tibble_package() : The `tibble` package must be installed to use tidy() or glance() methods Calls: tidy -> tidy.maxLik -> require_tibble_package Execution halted Flavor: r-devel-linux-x86_64-debian-gcc

Version: 1.5-2.1
Check: re-building of vignette outputs
Result: WARN Error(s) in re-building vignettes: --- re-building ‘intro-to-maximum-likelihood.Rnw’ using Sweave Loading required package: miscTools Please cite the 'maxLik' package as: Henningsen, Arne and Toomet, Ott (2011). maxLik: A package for maximum likelihood estimation in R. Computational Statistics 26(3), 443-458. DOI 10.1007/s00180-010-0217-1. If you have questions, suggestions, or comments regarding the 'maxLik' package, please use a forum or 'tracker' at maxLik's R-Forge site: https://r-forge.r-project.org/projects/maxlik/ Warning in log(sigma) : NaNs produced Loading required package: plot3D --- finished re-building ‘intro-to-maximum-likelihood.Rnw’ --- re-building ‘stochastic-gradient-maxLik.Rnw’ using Sweave Loading required package: miscTools Please cite the 'maxLik' package as: Henningsen, Arne and Toomet, Ott (2011). maxLik: A package for maximum likelihood estimation in R. Computational Statistics 26(3), 443-458. DOI 10.1007/s00180-010-0217-1. If you have questions, suggestions, or comments regarding the 'maxLik' package, please use a forum or 'tracker' at maxLik's R-Forge site: https://r-forge.r-project.org/projects/maxlik/ --- finished re-building ‘stochastic-gradient-maxLik.Rnw’ --- re-building ‘using-maxlik.Rnw’ using Sweave Loading required package: miscTools Please cite the 'maxLik' package as: Henningsen, Arne and Toomet, Ott (2011). maxLik: A package for maximum likelihood estimation in R. Computational Statistics 26(3), 443-458. DOI 10.1007/s00180-010-0217-1. If you have questions, suggestions, or comments regarding the 'maxLik' package, please use a forum or 'tracker' at maxLik's R-Forge site: https://r-forge.r-project.org/projects/maxlik/ Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in sqrt(diag(vc)) : NaNs produced Warning in sqrt(diag(vc)) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in sqrt(diag(vc)) : NaNs produced Warning in sqrt(diag(vc)) : NaNs produced Error: processing vignette 'using-maxlik.Rnw' failed with diagnostics: Running 'texi2dvi' on 'using-maxlik.tex' failed. LaTeX errors: !pdfTeX error: pdflatex (file bbm10): Font bbm10 at 600 not found ==> Fatal error occurred, no output PDF file produced! --- failed re-building ‘using-maxlik.Rnw’ SUMMARY: processing the following file failed: ‘using-maxlik.Rnw’ Error: Vignette re-building failed. Execution halted Flavor: r-release-macos-arm64

Version: 1.5-2.1
Check: re-building of vignette outputs
Result: NOTE Error(s) in re-building vignettes: --- re-building ‘intro-to-maximum-likelihood.Rnw’ using Sweave Loading required package: miscTools Please cite the 'maxLik' package as: Henningsen, Arne and Toomet, Ott (2011). maxLik: A package for maximum likelihood estimation in R. Computational Statistics 26(3), 443-458. DOI 10.1007/s00180-010-0217-1. If you have questions, suggestions, or comments regarding the 'maxLik' package, please use a forum or 'tracker' at maxLik's R-Forge site: https://r-forge.r-project.org/projects/maxlik/ Warning in log(sigma) : NaNs produced Loading required package: plot3D --- finished re-building ‘intro-to-maximum-likelihood.Rnw’ --- re-building ‘stochastic-gradient-maxLik.Rnw’ using Sweave Loading required package: miscTools Please cite the 'maxLik' package as: Henningsen, Arne and Toomet, Ott (2011). maxLik: A package for maximum likelihood estimation in R. Computational Statistics 26(3), 443-458. DOI 10.1007/s00180-010-0217-1. If you have questions, suggestions, or comments regarding the 'maxLik' package, please use a forum or 'tracker' at maxLik's R-Forge site: https://r-forge.r-project.org/projects/maxlik/ --- finished re-building ‘stochastic-gradient-maxLik.Rnw’ --- re-building ‘using-maxlik.Rnw’ using Sweave Loading required package: miscTools Please cite the 'maxLik' package as: Henningsen, Arne and Toomet, Ott (2011). maxLik: A package for maximum likelihood estimation in R. Computational Statistics 26(3), 443-458. DOI 10.1007/s00180-010-0217-1. If you have questions, suggestions, or comments regarding the 'maxLik' package, please use a forum or 'tracker' at maxLik's R-Forge site: https://r-forge.r-project.org/projects/maxlik/ Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in sqrt(diag(vc)) : NaNs produced Warning in sqrt(diag(vc)) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced Warning in sqrt(diag(vc)) : NaNs produced Warning in sqrt(diag(vc)) : NaNs produced Error: processing vignette 'using-maxlik.Rnw' failed with diagnostics: Running 'texi2dvi' on 'using-maxlik.tex' failed. LaTeX errors: !pdfTeX error: pdflatex (file bbm10): Font bbm10 at 600 not found ==> Fatal error occurred, no output PDF file produced! --- failed re-building ‘using-maxlik.Rnw’ SUMMARY: processing the following file failed: ‘using-maxlik.Rnw’ Error: Vignette re-building failed. Execution halted Flavor: r-oldrel-macos-arm64