Last updated on 2024-07-14 18:54:41 CEST.

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

r-devel-linux-x86_64-debian-clang | 1.5-2.1 | 10.02 | 137.19 | 147.21 | OK | |

r-devel-linux-x86_64-debian-gcc | 1.5-2.1 | 6.75 | 97.74 | 104.49 | OK | |

r-devel-linux-x86_64-fedora-clang | 1.5-2.1 | 177.28 | OK | |||

r-devel-linux-x86_64-fedora-gcc | 1.5-2.1 | 190.63 | OK | |||

r-devel-windows-x86_64 | 1.5-2.1 | 7.00 | 153.00 | 160.00 | NOTE | |

r-patched-linux-x86_64 | 1.5-2.1 | 13.27 | 131.35 | 144.62 | OK | |

r-release-linux-x86_64 | 1.5-2.1 | 6.40 | 127.24 | 133.64 | OK | |

r-release-macos-arm64 | 1.5-2.1 | 57.00 | WARN | |||

r-release-macos-x86_64 | 1.5-2.1 | 109.00 | OK | |||

r-release-windows-x86_64 | 1.5-2.1 | 8.00 | 156.00 | 164.00 | OK | |

r-oldrel-macos-arm64 | 1.5-2.1 | 71.00 | NOTE | |||

r-oldrel-macos-x86_64 | 1.5-2.1 | 202.00 | OK | |||

r-oldrel-windows-x86_64 | 1.5-2.1 | 10.00 | 164.00 | 174.00 | OK |

Version: 1.5-2.1

Check: Rd cross-references

Result: NOTE
Found the following Rd file(s) with Rd \link{} targets missing package
anchors:
activePar.Rd: nObs
nObs.Rd: nParam
nParam.Rd: nObs
Please provide package anchors for all Rd \link{} targets not in the
package itself and the base packages.
Flavor: r-devel-windows-x86_64

Version: 1.5-2.1

Check: re-building of vignette outputs

Result: WARN
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: 1.5-2.1

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-oldrel-macos-arm64