CRAN Package Check Results for Maintainer ‘Xiaotian Jin <xiaotian.jin at kaust.edu.sa>’

Last updated on 2026-05-05 05:52:48 CEST.

Package	ERROR	OK
ngme2	2	10

Package ngme2

Current CRAN status: ERROR: 2, OK: 10

Version: 0.9.7
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 0.9.7 - 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] -1.719 0.641 -2.252 $ sd : num [1:3] 0.698 0.732 0.748 $ 0.05q : num [1:3] -2.85 -0.539 -3.452 $ 0.95q : num [1:3] -0.551 1.936 -1.079 $ median: num [1:3] -1.694 0.652 -2.249 $ mode : num [1:3] -1.5 0.7 -2.1 - attr(*, "samples")= num [1:10, 1:500] -1.14 -1.38 -2.89 -1.22 1.03 ... Starting estimation... iteration = : 1 grad.norm() = 495.158 pflug_sum = 0, max_pflug_sum = 0 --------------------------- iteration = : 2 grad.norm() = 473.806 pflug_sum = 234132, max_pflug_sum = 234132 --------------------------- iteration = : 3 grad.norm() = 456.376 pflug_sum = 450027, max_pflug_sum = 450027 --------------------------- iteration = : 4 grad.norm() = 435.314 pflug_sum = 647740, max_pflug_sum = 647740 --------------------------- iteration = : 5 grad.norm() = 405.453 pflug_sum = 822707, max_pflug_sum = 822707 --------------------------- iteration = : 6 grad.norm() = 382.58 pflug_sum = 977197, max_pflug_sum = 977197 --------------------------- iteration = : 7 grad.norm() = 350.22 pflug_sum = 1.11e+06, max_pflug_sum = 1.11e+06 --------------------------- iteration = : 8 grad.norm() = 325.002 pflug_sum = 1.22314e+06, max_pflug_sum = 1.22314e+06 --------------------------- iteration = : 9 grad.norm() = 296.77 pflug_sum = 1.31566e+06, max_pflug_sum = 1.31566e+06 --------------------------- iteration = : 10 grad.norm() = 252.821 pflug_sum = 1.38743e+06, max_pflug_sum = 1.38743e+06 --------------------------- Starting posterior sampling... Posterior sampling done. Average standard deviation of the posterior W: 0.313659220953704 Use ngme_post_samples() to access posterior samples and ngme_result() to access latent model parameters. 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). Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.9.7
Check: tests
Result: ERROR Running ‘testthat.R’ [90m/57m] 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 0.9.7 - 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] -1.888 0.803 -1.778 $ sd : num [1:3] 0.871 0.922 0.929 $ 0.05q : num [1:3] -3.347 -0.658 -3.264 $ 0.95q : num [1:3] -0.466 2.379 -0.108 $ median: num [1:3] -1.877 0.792 -1.809 $ mode : num [1:3] -1.9 0.3 -2.3 - attr(*, "samples")= num [1:10, 1:500] -1.58 -2.4 -2.93 -2.05 1.16 ... Starting estimation... iteration = : 1 grad.norm() = 509.279 pflug_sum = 0, max_pflug_sum = 0 --------------------------- iteration = : 2 grad.norm() = 491.586 pflug_sum = 248909, max_pflug_sum = 248909 --------------------------- iteration = : 3 grad.norm() = 476.92 pflug_sum = 482214, max_pflug_sum = 482214 --------------------------- iteration = : 4 grad.norm() = 457.856 pflug_sum = 699853, max_pflug_sum = 699853 --------------------------- iteration = : 5 grad.norm() = 428.087 pflug_sum = 895282, max_pflug_sum = 895282 --------------------------- iteration = : 6 grad.norm() = 406.758 pflug_sum = 1.06718e+06, max_pflug_sum = 1.06718e+06 --------------------------- iteration = : 7 grad.norm() = 375.58 pflug_sum = 1.21917e+06, max_pflug_sum = 1.21917e+06 --------------------------- iteration = : 8 grad.norm() = 338.975 pflug_sum = 1.34517e+06, max_pflug_sum = 1.34517e+06 --------------------------- iteration = : 9 grad.norm() = 311.035 pflug_sum = 1.45003e+06, max_pflug_sum = 1.45003e+06 --------------------------- iteration = : 10 grad.norm() = 275.098 pflug_sum = 1.53511e+06, max_pflug_sum = 1.53511e+06 --------------------------- Starting posterior sampling... Posterior sampling done. Average standard deviation of the posterior W: 0.30191463478034 Use ngme_post_samples() to access posterior samples and ngme_result() to access latent model parameters. Flavor: r-devel-linux-x86_64-fedora-gcc