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

Flavor | Version | T_{install} | T_{check} | T_{total} | 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 |

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