Error(s) in re-building vignettes:
Warning: elapsed-time limit of 30 minutes reached for sub-process
--- 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/
Error: processing vignette 'intro-to-maximum-likelihood.Rnw' failed with diagnostics:
Running 'texi2dvi' on 'intro-to-maximum-likelihood.tex' failed.
LaTeX errors:
! Missing $ inserted.
<inserted text> 
                $
l.655 ...ke (\si{\micro\mol\per\meter\squared\sec}
                                                  ,
! Argument of \__siunitx_unit_format_literal_super:nn has an extra }.
<inserted text> 
                \par 
l.655 ...ke (\si{\micro\mol\per\meter\squared\sec}
                                                  ,
! Paragraph ended before \__siunitx_unit_format_literal_super:nn was complete.
<to be read again> 
                   \par 
l.655 ...ke (\si{\micro\mol\per\meter\squared\sec}
                                                  ,
! Missing $ inserted.
<inserted text> 
                $
l.655 ...ke (\si{\micro\mol\per\meter\squared\sec}
                                                  ,
! Missing } inserted.
<inserted text> 
                }
l.655 ...ke (\si{\micro\mol\per\meter\squared\sec}
                                                  ,
! Extra }, or forgotten \endgroup.
<recently read> }
                 
l.655 ...ke (\si{\micro\mol\per\meter\squared\sec}
                                                  ,
! Missing $ inserted.
<inserted text> 
                $
l.655 ...ke (\si{\micro\mol\per\meter\squared\sec}
                                                  ,
! Argument of \__siunitx_unit_format_literal_sub:nn has an extra }.
<inserted text> 
                \par 
l.655 ...ke (\si{\micro\mol\per\meter\squared\sec}
                                                  ,
! Paragraph ended before \__siunitx_unit_format_literal_sub:nn was complete.
<to be read again> 
                   \par 
l.655 ...ke (\si{\micro\mol\per\meter\squared\sec}
                                                  ,
! Missing $ inserted.
<inserted text> 
                $
l.655 ...ke (\si{\micro\mol\per\meter\squared\sec}
                                                  ,
! Missing } inserted.
<inserted text> 
                }
l.655 ...ke (\si{\micro\mol\per\meter\squared\sec}
                                                  ,
! Argument of \__siunitx_unit_format_literal_auxvi:nN has an extra }.
<inserted text> 
                \par 
l.655 ...ke (\si{\micro\mol\per\meter\squared\sec}
                                                  ,
! Paragraph ended before \__siunitx_unit_format_literal_auxvi:nN was complete.
<to be read again> 
                   \par 
l.655 ...ke (\si{\micro\mol\per\meter\squared\sec}
                                                  ,
! Extra }, or forgotten \endgroup.
\__siunitx_unit_format_literal_auxvi:nN ...#1}#2}}
                                                  
l.655 ...ke (\si{\micro\mol\per\meter\squared\sec}
                                                  ,
! Interruption.
\__siunitx_unit_format_literal_auxv:nw ... }{#1}#2
                                                  \q_recursion_stop 
l.655 ...ke (\si{\micro\mol\per\meter\squared\sec}
                                                  ,
! Emergency stop.
\__siunitx_unit_format_literal_auxv:nw ... }{#1}#2
                                                  \q_recursion_stop 
l.655 ...ke (\si{\micro\mol\per\meter\squared\sec}
                                                  ,
!  ==> Fatal error occurred, no output PDF file produced!
--- failed 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
--- finished re-building ‘using-maxlik.Rnw’

SUMMARY: processing the following file failed:
  ‘intro-to-maximum-likelihood.Rnw’

Error: Vignette re-building failed.
Execution halted