Last updated on 2023-09-27 21:01:28 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | 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