CRAN Package Check Results for Package maxLik

Last updated on 2024-07-14 18:54:41 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.5-2.1 10.02 137.19 147.21 OK
r-devel-linux-x86_64-debian-gcc 1.5-2.1 6.75 97.74 104.49 OK
r-devel-linux-x86_64-fedora-clang 1.5-2.1 177.28 OK
r-devel-linux-x86_64-fedora-gcc 1.5-2.1 190.63 OK
r-devel-windows-x86_64 1.5-2.1 7.00 153.00 160.00 NOTE
r-patched-linux-x86_64 1.5-2.1 13.27 131.35 144.62 OK
r-release-linux-x86_64 1.5-2.1 6.40 127.24 133.64 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 8.00 156.00 164.00 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 10.00 164.00 174.00 OK

Check Details

Version: 1.5-2.1
Check: Rd cross-references
Result: NOTE Found the following Rd file(s) with Rd \link{} targets missing package anchors: activePar.Rd: nObs nObs.Rd: nParam nParam.Rd: nObs Please provide package anchors for all Rd \link{} targets not in the package itself and the base packages. Flavor: r-devel-windows-x86_64

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