Last updated on 2023-09-27 21:01:28 CEST.

Flavor | Version | T_{install} | T_{check} | T_{total} | Status | Flags |
---|---|---|---|---|---|---|

r-devel-linux-x86_64-debian-clang | 1.5-2 | 8.10 | 133.90 | 142.00 | NOTE | |

r-devel-linux-x86_64-debian-gcc | 1.5-2 | 6.32 | 96.65 | 102.97 | NOTE | |

r-devel-linux-x86_64-fedora-clang | 1.5-2 | 170.92 | NOTE | |||

r-devel-linux-x86_64-fedora-gcc | 1.5-2 | 190.77 | NOTE | |||

r-devel-windows-x86_64 | 1.5-2 | 9.00 | 154.00 | 163.00 | NOTE | |

r-patched-linux-x86_64 | 1.5-2 | 10.81 | 126.45 | 137.26 | NOTE | |

r-release-linux-x86_64 | 1.5-2 | 6.89 | 128.77 | 135.66 | NOTE | |

r-release-macos-arm64 | 1.5-2 | 76.00 | NOTE | |||

r-release-macos-x86_64 | 1.5-2 | 112.00 | NOTE | |||

r-release-windows-x86_64 | 1.5-2 | 11.00 | 170.00 | 181.00 | NOTE | |

r-oldrel-macos-arm64 | 1.5-2 | 87.00 | NOTE | |||

r-oldrel-macos-x86_64 | 1.5-2 | 87.00 | OK | |||

r-oldrel-windows-x86_64 | 1.5-2 | 14.00 | 172.00 | 186.00 | OK |

Version: 1.5-2

Check: Rd files

Result: NOTE

checkRd: (-1) maxControl.Rd:83: Escaped LaTeX specials: \&

Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64

Version: 1.5-2

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-release-macos-arm64

Version: 1.5-2

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/

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:

! LaTeX Error: File `icomma.sty' not found.

Type X to quit or <RETURN> to proceed,

or enter new name. (Default extension: sty)

! Emergency stop.

<read *>

l.17 \usepackage

[utf8]{inputenc}^^M

! ==> 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-x86_64

Version: 1.5-2

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

--- finished re-building ‘stochastic-gradient-maxLik.Rnw’

--- re-building ‘using-maxlik.Rnw’ using Sweave

Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced

Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced

Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced

Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced

Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced

Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced

Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced

Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced

Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced

Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced

Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced

Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced

Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced

Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced

Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced

Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced

Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced

Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced

Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced

Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced

Warning in dnorm(x, mean = mu, sd = sigma, log = TRUE) : NaNs produced

Warning in 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

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