- using R version 4.3.1 (2023-06-16)
- using platform: aarch64-apple-darwin20 (64-bit)
- R was compiled by Apple clang version 14.0.0 (clang-1400.0.29.202) GNU Fortran (GCC) 12.2.0
- running under: macOS Ventura 13.4
- using session charset: UTF-8
- checking for file ‘maxLik/DESCRIPTION’ ... OK
- this is package ‘maxLik’ version ‘1.5-2.1’
- checking package namespace information ... OK
- checking package dependencies ... OK
- checking if this is a source package ... OK
- checking if there is a namespace ... OK
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- checking for sufficient/correct file permissions ... OK
- checking whether package ‘maxLik’ can be installed ... [3s/3s] OK See the install log for details.
- checking installed package size ... OK
- checking package directory ... OK
- checking ‘build’ directory ... OK
- checking DESCRIPTION meta-information ... OK
- checking top-level files ... OK
- checking for left-over files ... OK
- checking index information ... OK
- checking package subdirectories ... OK
- checking R files for non-ASCII characters ... OK
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- checking dependencies in R code ... OK
- checking S3 generic/method consistency ... OK
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- checking R code for possible problems ... [3s/3s] OK
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- checking for unstated dependencies in examples ... OK
- checking sizes of PDF files under ‘inst/doc’ ... OK
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- checking files in ‘vignettes’ ... OK
- checking examples ... [1s/1s] OK
- checking for unstated dependencies in ‘tests’ ... OK
- checking tests ... [2s/3s] OK Running ‘BFGSR.R’ [0s/0s] Comparing ‘BFGSR.Rout’ to ‘BFGSR.Rout.save’ ... OK Running ‘constraints.R’ [1s/1s] Comparing ‘constraints.Rout’ to ‘constraints.Rout.save’ ... OK Running ‘finalHessian.R’ [0s/0s] Comparing ‘finalHessian.Rout’ to ‘finalHessian.Rout.save’ ... OK Running ‘numericGradient.R’ [0s/0s] Comparing ‘numericGradient.Rout’ to ‘numericGradient.Rout.save’ ... OK Running ‘tinytest.R’ [0s/0s]
- checking for unstated dependencies in vignettes ... OK
- checking package vignettes in ‘inst/doc’ ... OK
- checking running R code from vignettes ... [9s/10s] OK ‘intro-to-maximum-likelihood.Rnw’ using ‘UTF-8’... [1s/1s] OK ‘stochastic-gradient-maxLik.Rnw’ using ‘UTF-8’... [8s/9s] OK ‘using-maxlik.Rnw’ using ‘UTF-8’... [1s/1s] OK
- checking re-building of vignette outputs ... [24s/27s] 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
- checking PDF version of manual ... [6s/6s] OK
- DONE Status: 1 NOTE
- using check arguments '--no-clean-on-error '