- using R version 4.4.1 (2024-06-14)
- using platform: x86_64-pc-linux-gnu
- R was compiled by
gcc-14 (Debian 14.2.0-1) 14.2.0
GNU Fortran (Debian 14.2.0-1) 14.2.0
- running under: Debian GNU/Linux trixie/sid
- using session charset: UTF-8
- checking for file ‘tramvs/DESCRIPTION’ ... OK
- checking extension type ... Package
- this is package ‘tramvs’ version ‘0.0-4’
- package encoding: UTF-8
- checking package namespace information ... OK
- checking package dependencies ... OK
- checking if this is a source package ... OK
- checking if there is a namespace ... OK
- checking for executable files ... OK
- checking for hidden files and directories ... OK
- checking for portable file names ... OK
- checking for sufficient/correct file permissions ... OK
- checking whether package ‘tramvs’ can be installed ... OK
See the install log for details.
- checking package directory ... OK
- checking for future file timestamps ... OK
- checking ‘build’ directory ... OK
- checking DESCRIPTION meta-information ... OK
- checking top-level files ... OK
- checking for left-over files ... OK
- checking index information ... OK
- checking package subdirectories ... OK
- checking code files for non-ASCII characters ... OK
- checking R files for syntax errors ... OK
- checking whether the package can be loaded ... [2s/3s] OK
- checking whether the package can be loaded with stated dependencies ... [2s/3s] OK
- checking whether the package can be unloaded cleanly ... [2s/3s] OK
- checking whether the namespace can be loaded with stated dependencies ... [2s/3s] OK
- checking whether the namespace can be unloaded cleanly ... [2s/3s] OK
- checking loading without being on the library search path ... [2s/3s] OK
- checking use of S3 registration ... OK
- checking dependencies in R code ... OK
- checking S3 generic/method consistency ... OK
- checking replacement functions ... OK
- checking foreign function calls ... OK
- checking R code for possible problems ... [10s/13s] OK
- checking Rd files ... [0s/1s] OK
- checking Rd metadata ... OK
- checking Rd line widths ... OK
- checking Rd cross-references ... OK
- checking for missing documentation entries ... OK
- checking for code/documentation mismatches ... OK
- checking Rd \usage sections ... OK
- checking Rd contents ... OK
- checking for unstated dependencies in examples ... OK
- checking sizes of PDF files under ‘inst/doc’ ... OK
- checking installed files from ‘inst/doc’ ... OK
- checking files in ‘vignettes’ ... OK
- checking examples ... [5s/6s] OK
- checking for unstated dependencies in ‘tests’ ... OK
- checking tests ... [129s/158s] OK
Running ‘test-continuous.R’ [5s/5s]
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’ [12s/14s]
Comparing ‘test-count.Rout’ to ‘test-count.Rout.save’ ...20,67d19
< 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’ [16s/19s]
Comparing ‘test-mandatory.Rout’ to ‘test-mandatory.Rout.save’ ... OK
Running ‘test-ordinal.R’ [4s/5s]
Comparing ‘test-ordinal.Rout’ to ‘test-ordinal.Rout.save’ ... OK
Running ‘test-shiftscale.R’ [7s/10s]
Comparing ‘test-shiftscale.Rout’ to ‘test-shiftscale.Rout.save’ ... OK
Running ‘test-survival.R’ [65s/76s]
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’ [20s/28s]
Comparing ‘test-weibull.Rout’ to ‘test-weibull.Rout.save’ ... OK
- checking for unstated dependencies in vignettes ... OK
- checking package vignettes ... OK
- checking re-building of vignette outputs ... [112s/133s] OK
- checking PDF version of manual ... [5s/8s] OK
- checking HTML version of manual ... [1s/1s] OK
- checking for non-standard things in the check directory ... OK
- DONE
Status: OK