CRAN Package Check Results for Maintainer ‘Lucas Kook <lucasheinrich.kook at uzh.ch>’

Last updated on 2024-08-31 23:49:33 CEST.

Package	WARN	NOTE	OK
tramvs	1	4	8

Package tramvs

Current CRAN status: WARN: 1, NOTE: 4, OK: 8

Additional issues

M1mac

Version: 0.0-4
Check: tests
Result: NOTE Running ‘test-continuous.R’ [8s/10s] Comparing ‘test-continuous.Rout’ to ‘test-continuous.Rout.save’ ...158,163d157 < < Thank you for using abess! To acknowledge our work, please cite the package: < < Zhu J, Wang X, Hu L, Huang J, Jiang K, Zhang Y, Lin S, Zhu J (2022). 'abess: A Fast Best Subset Selection Library in Python and R.' Journal of Machine Learning Research, 23(202), 1-7. https://www.jmlr.org/papers/v23/21-1060.html. < OMP: Warning #96: Cannot form a team with 24 threads, using 2 instead. < OMP: Hint Consider unsetting KMP_DEVICE_THREAD_LIMIT (KMP_ALL_THREADS), KMP_TEAMS_THREAD_LIMIT, and OMP_THREAD_LIMIT (if any are set). Running ‘test-count.R’ [22s/25s] Comparing ‘test-count.Rout’ to ‘test-count.Rout.save’ ...20,68d19 < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). Running ‘test-mandatory.R’ [27s/28s] Comparing ‘test-mandatory.Rout’ to ‘test-mandatory.Rout.save’ ... OK Running ‘test-ordinal.R’ Comparing ‘test-ordinal.Rout’ to ‘test-ordinal.Rout.save’ ... OK Running ‘test-shiftscale.R’ Comparing ‘test-shiftscale.Rout’ to ‘test-shiftscale.Rout.save’ ... OK Running ‘test-survival.R’ [62s/62s] Comparing ‘test-survival.Rout’ to ‘test-survival.Rout.save’ ...33,38d32 < < Thank you for using abess! To acknowledge our work, please cite the package: < < Zhu J, Wang X, Hu L, Huang J, Jiang K, Zhang Y, Lin S, Zhu J (2022). 'abess: A Fast Best Subset Selection Library in Python and R.' Journal of Machine Learning Research, 23(202), 1-7. https://www.jmlr.org/papers/v23/21-1060.html. < OMP: Warning #96: Cannot form a team with 24 threads, using 2 instead. < OMP: Hint Consider unsetting KMP_DEVICE_THREAD_LIMIT (KMP_ALL_THREADS), KMP_TEAMS_THREAD_LIMIT, and OMP_THREAD_LIMIT (if any are set). Running ‘test-weibull.R’ [18s/18s] Comparing ‘test-weibull.Rout’ to ‘test-weibull.Rout.save’ ... OK Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.0-4
Check: tests
Result: NOTE Running ‘test-continuous.R’ [8s/19s] Comparing ‘test-continuous.Rout’ to ‘test-continuous.Rout.save’ ...158,161d157 < < Thank you for using abess! To acknowledge our work, please cite the package: < < Zhu J, Wang X, Hu L, Huang J, Jiang K, Zhang Y, Lin S, Zhu J (2022). 'abess: A Fast Best Subset Selection Library in Python and R.' Journal of Machine Learning Research, 23(202), 1-7. https://www.jmlr.org/papers/v23/21-1060.html. Running ‘test-count.R’ [21s/51s] Comparing ‘test-count.Rout’ to ‘test-count.Rout.save’ ...20,68d19 < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). Running ‘test-mandatory.R’ [27s/48s] Comparing ‘test-mandatory.Rout’ to ‘test-mandatory.Rout.save’ ... OK Running ‘test-ordinal.R’ [6s/11s] Comparing ‘test-ordinal.Rout’ to ‘test-ordinal.Rout.save’ ... OK Running ‘test-shiftscale.R’ [11s/15s] Comparing ‘test-shiftscale.Rout’ to ‘test-shiftscale.Rout.save’ ... OK Running ‘test-survival.R’ [105s/117s] Comparing ‘test-survival.Rout’ to ‘test-survival.Rout.save’ ...33,36d32 < < Thank you for using abess! To acknowledge our work, please cite the package: < < Zhu J, Wang X, Hu L, Huang J, Jiang K, Zhang Y, Lin S, Zhu J (2022). 'abess: A Fast Best Subset Selection Library in Python and R.' Journal of Machine Learning Research, 23(202), 1-7. https://www.jmlr.org/papers/v23/21-1060.html. Running ‘test-weibull.R’ [33s/33s] Comparing ‘test-weibull.Rout’ to ‘test-weibull.Rout.save’ ... OK Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 0.0-4
Check: tests
Result: NOTE Running 'test-continuous.R' [4s] Comparing 'test-continuous.Rout' to 'test-continuous.Rout.save' ...158,161d157 < < Thank you for using abess! To acknowledge our work, please cite the package: < < Zhu J, Wang X, Hu L, Huang J, Jiang K, Zhang Y, Lin S, Zhu J (2022). 'abess: A Fast Best Subset Selection Library in Python and R.' Journal of Machine Learning Research, 23(202), 1-7. https://www.jmlr.org/papers/v23/21-1060.html. Running 'test-count.R' [13s] Comparing 'test-count.Rout' to 'test-count.Rout.save' ...20,68d19 < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). < Model was fitted to log(y + 1). Running 'test-mandatory.R' [15s] Comparing 'test-mandatory.Rout' to 'test-mandatory.Rout.save' ... OK Running 'test-ordinal.R' [3s] Comparing 'test-ordinal.Rout' to 'test-ordinal.Rout.save' ... OK Running 'test-shiftscale.R' [5s] Comparing 'test-shiftscale.Rout' to 'test-shiftscale.Rout.save' ... OK Running 'test-survival.R' [57s] Comparing 'test-survival.Rout' to 'test-survival.Rout.save' ...33,36d32 < < Thank you for using abess! To acknowledge our work, please cite the package: < < Zhu J, Wang X, Hu L, Huang J, Jiang K, Zhang Y, Lin S, Zhu J (2022). 'abess: A Fast Best Subset Selection Library in Python and R.' Journal of Machine Learning Research, 23(202), 1-7. https://www.jmlr.org/papers/v23/21-1060.html. Running 'test-weibull.R' [19s] Comparing 'test-weibull.Rout' to 'test-weibull.Rout.save' ... OK Flavor: r-devel-windows-x86_64

Version: 0.0-4
Check: re-building of vignette outputs
Result: WARN Error(s) in re-building vignettes: ... --- re-building ‘tramvs.Rnw’ using knitr Error: processing vignette 'tramvs.Rnw' failed with diagnostics: Running 'texi2dvi' on 'tramvs.tex' failed. LaTeX errors: ! Undefined control sequence. l.257 \hlkwd{args}\hldef {(abess_tram)} ? ! Emergency stop. ! Emergency stop. l.257 End of file on the terminal! ! ==> Fatal error occurred, no output PDF file produced! --- failed re-building ‘tramvs.Rnw’ SUMMARY: processing the following file failed: ‘tramvs.Rnw’ Error: Vignette re-building failed. Execution halted Flavor: r-release-macos-x86_64

Version: 0.0-4
Check: package dependencies
Result: NOTE Package suggested but not available for checking: ‘tramnet’ Flavor: r-oldrel-macos-x86_64

Version: 0.0-4
Check: re-building of vignette outputs
Result: NOTE Note: skipping ‘tramvs.Rnw’ due to unavailable dependencies: 'tramnet' Flavor: r-oldrel-macos-x86_64