CRAN Package Check Results for Package maxLik

Last updated on 2021-04-14 02:46:47 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.4-8 6.32 136.69 143.01 OK
r-devel-linux-x86_64-debian-gcc 1.4-8 6.76 98.19 104.95 OK
r-devel-linux-x86_64-fedora-clang 1.4-8 176.45 OK
r-devel-linux-x86_64-fedora-gcc 1.4-8 164.85 OK
r-devel-windows-ix86+x86_64 1.4-8 15.00 120.00 135.00 OK
r-devel-windows-x86_64-gcc10-UCRT 1.4-8 OK
r-patched-linux-x86_64 1.4-8 6.28 126.02 132.30 OK
r-patched-solaris-x86 1.4-8 208.60 OK
r-release-linux-x86_64 1.4-8 7.29 125.95 133.24 OK
r-release-macos-x86_64 1.4-8 OK
r-release-windows-ix86+x86_64 1.4-8 12.00 164.00 176.00 OK
r-oldrel-macos-x86_64 1.4-8 NOTE
r-oldrel-windows-ix86+x86_64 1.4-8 11.00 115.00 126.00 OK

Check Details

Version: 1.4-8
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/
    --- 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
    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-x86_64