The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

CRAN Package Check Results for Package ngme2

Last updated on 2026-09-01 11:51:39 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.9.8 496.21 326.90 823.11 OK
r-devel-linux-x86_64-debian-gcc 0.9.8 388.73 262.18 650.91 OK
r-devel-linux-x86_64-fedora-clang 0.9.8 312.00 5515.63 5827.63 ERROR
r-devel-linux-x86_64-fedora-gcc 0.9.8 435.00 5521.90 5956.90 ERROR
r-devel-windows-x86_64 0.9.8 657.00 451.00 1108.00 OK
r-patched-linux-x86_64 0.9.8 498.09 350.09 848.18 OK
r-release-linux-x86_64 0.9.8 525.53 357.30 882.83 OK
r-release-macos-arm64 0.9.8 97.00 24.00 121.00 OK
r-release-macos-x86_64 0.9.8 301.00 286.00 587.00 OK
r-release-windows-x86_64 0.9.8 778.00 384.00 1162.00 OK
r-oldrel-macos-arm64 0.9.8 87.00 30.00 117.00 OK
r-oldrel-macos-x86_64 0.9.8 295.00 211.00 506.00 OK
r-oldrel-windows-x86_64 0.9.8 732.00 483.00 1215.00 OK

Additional issues

M1mac

Check Details

Version: 0.9.8
Check: tests
Result: ERROR Running ‘testthat.R’ [90m/46m] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/tests.html > # * https://testthat.r-lib.org/reference/test_package.html#special-files > > library(testthat) > > test_check("ngme2") Loading required package: ngme2 This is ngme2 of version 0.9.8 - See our homepage: https://davidbolin.github.io/ngme2 for more details. Attaching package: 'ngme2' The following object is masked from 'package:stats': ar List of 6 $ mean : num [1:3] -1.67 0.718 -2.307 $ sd : num [1:3] 0.652 0.68 0.802 $ 0.05q : num [1:3] -2.68 -0.39 -3.67 $ 0.95q : num [1:3] -0.626 1.786 -1.034 $ median: num [1:3] -1.698 0.722 -2.312 $ mode : num [1:3] -1.7 1.1 -1.7 - attr(*, "samples")= num [1:10, 1:500] -1.16 -1.79 -1.93 -0.52 3.04 ... Starting estimation... iteration = : 1 grad.norm() = 508.709 pflug_sum = 0, max_pflug_sum = 0 --------------------------- iteration = : 2 grad.norm() = 492.287 pflug_sum = 250086, max_pflug_sum = 250086 --------------------------- iteration = : 3 grad.norm() = 468.664 pflug_sum = 480200, max_pflug_sum = 480200 --------------------------- iteration = : 4 grad.norm() = 447.943 pflug_sum = 688556, max_pflug_sum = 688556 --------------------------- iteration = : 5 grad.norm() = 426.824 pflug_sum = 879046, max_pflug_sum = 879046 --------------------------- iteration = : 6 grad.norm() = 399.2 pflug_sum = 1.04827e+06, max_pflug_sum = 1.04827e+06 --------------------------- iteration = : 7 grad.norm() = 364.029 pflug_sum = 1.19259e+06, max_pflug_sum = 1.19259e+06 --------------------------- iteration = : 8 grad.norm() = 336.232 pflug_sum = 1.31435e+06, max_pflug_sum = 1.31435e+06 --------------------------- iteration = : 9 grad.norm() = 301.672 pflug_sum = 1.41502e+06, max_pflug_sum = 1.41502e+06 --------------------------- iteration = : 10 grad.norm() = 264.131 pflug_sum = 1.49385e+06, max_pflug_sum = 1.49385e+06 --------------------------- Starting posterior sampling... Posterior sampling done. Average standard deviation of the posterior W: 0.225903153661241 Use ngme_post_samples() to access posterior samples and ngme_result() to access latent model parameters. OMP: Warning #96: Cannot form a team with 28 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). Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.9.8
Check: tests
Result: ERROR Running ‘testthat.R’ [90m/46m] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/tests.html > # * https://testthat.r-lib.org/reference/test_package.html#special-files > > library(testthat) > > test_check("ngme2") Loading required package: ngme2 This is ngme2 of version 0.9.8 - See our homepage: https://davidbolin.github.io/ngme2 for more details. Attaching package: 'ngme2' The following object is masked from 'package:stats': ar List of 6 $ mean : num [1:3] -1.946 0.863 -1.706 $ sd : num [1:3] 0.831 0.862 0.913 $ 0.05q : num [1:3] -3.343 -0.616 -3.172 $ 0.95q : num [1:3] -0.55507 2.15478 -0.00886 $ median: num [1:3] -1.981 0.897 -1.738 $ mode : num [1:3] -2.1 0.9 -1.7 - attr(*, "samples")= num [1:10, 1:500] -2.368 -2.738 -3.236 -1.948 0.318 ... Starting estimation... iteration = : 1 grad.norm() = 506.983 pflug_sum = 0, max_pflug_sum = 0 --------------------------- iteration = : 2 grad.norm() = 485.8 pflug_sum = 244355, max_pflug_sum = 244355 --------------------------- iteration = : 3 grad.norm() = 469.616 pflug_sum = 471040, max_pflug_sum = 471040 --------------------------- iteration = : 4 grad.norm() = 450.148 pflug_sum = 681824, max_pflug_sum = 681824 --------------------------- iteration = : 5 grad.norm() = 434.825 pflug_sum = 877297, max_pflug_sum = 877297 --------------------------- iteration = : 6 grad.norm() = 398.172 pflug_sum = 1.05003e+06, max_pflug_sum = 1.05003e+06 --------------------------- iteration = : 7 grad.norm() = 372.087 pflug_sum = 1.1972e+06, max_pflug_sum = 1.1972e+06 --------------------------- iteration = : 8 grad.norm() = 348.748 pflug_sum = 1.32298e+06, max_pflug_sum = 1.32298e+06 --------------------------- iteration = : 9 grad.norm() = 321.44 pflug_sum = 1.43412e+06, max_pflug_sum = 1.43412e+06 --------------------------- iteration = : 10 grad.norm() = 280.814 pflug_sum = 1.52394e+06, max_pflug_sum = 1.52394e+06 --------------------------- Starting posterior sampling... Posterior sampling done. Average standard deviation of the posterior W: 0.220998426147018 Use ngme_post_samples() to access posterior samples and ngme_result() to access latent model parameters. Flavor: r-devel-linux-x86_64-fedora-gcc

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.