Last updated on 2026-04-29 21:49:24 CEST.
| Package | ERROR | OK |
|---|---|---|
| ngme2 | 2 | 5 |
Current CRAN status: ERROR: 2, OK: 5
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] -1.718 0.652 -2.284
$ sd : num [1:3] 0.642 0.712 0.746
$ 0.05q : num [1:3] -2.773 -0.479 -3.519
$ 0.95q : num [1:3] -0.699 1.923 -1.114
$ median: num [1:3] -1.716 0.636 -2.259
$ mode : num [1:3] -1.9 0.7 -2.1
- attr(*, "samples")= num [1:10, 1:500] -2.77 -2.16 -3.4 -1.05 3.04 ...
Starting estimation...
iteration = : 1
grad.norm() = 514.059
pflug_sum = 0, max_pflug_sum = 0
---------------------------
iteration = : 2
grad.norm() = 494.266
pflug_sum = 253739, max_pflug_sum = 253739
---------------------------
iteration = : 3
grad.norm() = 484.652
pflug_sum = 493028, max_pflug_sum = 493028
---------------------------
iteration = : 4
grad.norm() = 461.388
pflug_sum = 716018, max_pflug_sum = 716018
---------------------------
iteration = : 5
grad.norm() = 437.352
pflug_sum = 916828, max_pflug_sum = 916828
---------------------------
iteration = : 6
grad.norm() = 413.565
pflug_sum = 1.09721e+06, max_pflug_sum = 1.09721e+06
---------------------------
iteration = : 7
grad.norm() = 392.432
pflug_sum = 1.25837e+06, max_pflug_sum = 1.25837e+06
---------------------------
iteration = : 8
grad.norm() = 363.693
pflug_sum = 1.39961e+06, max_pflug_sum = 1.39961e+06
---------------------------
iteration = : 9
grad.norm() = 328.856
pflug_sum = 1.51821e+06, max_pflug_sum = 1.51821e+06
---------------------------
iteration = : 10
grad.norm() = 294.028
pflug_sum = 1.61409e+06, max_pflug_sum = 1.61409e+06
---------------------------
Starting posterior sampling...
Posterior sampling done.
Average standard deviation of the posterior W: 0.286592767834589
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/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] -1.86 0.806 -1.773
$ sd : num [1:3] 0.845 0.896 0.908
$ 0.05q : num [1:3] -3.341 -0.724 -3.238
$ 0.95q : num [1:3] -0.51 2.268 -0.264
$ median: num [1:3] -1.804 0.805 -1.747
$ mode : num [1:3] -1.7 0.7 -1.7
- attr(*, "samples")= num [1:10, 1:500] -1.05 -1.73 -1.74 -1.29 1.23 ...
Starting estimation...
iteration = : 1
grad.norm() = 495.569
pflug_sum = 0, max_pflug_sum = 0
---------------------------
iteration = : 2
grad.norm() = 478.309
pflug_sum = 236585, max_pflug_sum = 236585
---------------------------
iteration = : 3
grad.norm() = 453.889
pflug_sum = 453208, max_pflug_sum = 453208
---------------------------
iteration = : 4
grad.norm() = 436.56
pflug_sum = 650995, max_pflug_sum = 650995
---------------------------
iteration = : 5
grad.norm() = 420.36
pflug_sum = 833579, max_pflug_sum = 833579
---------------------------
iteration = : 6
grad.norm() = 390.464
pflug_sum = 995650, max_pflug_sum = 995650
---------------------------
iteration = : 7
grad.norm() = 363.837
pflug_sum = 1.13746e+06, max_pflug_sum = 1.13746e+06
---------------------------
iteration = : 8
grad.norm() = 331.614
pflug_sum = 1.25748e+06, max_pflug_sum = 1.25748e+06
---------------------------
iteration = : 9
grad.norm() = 291.096
pflug_sum = 1.35345e+06, max_pflug_sum = 1.35345e+06
---------------------------
iteration = : 10
grad.norm() = 260.265
pflug_sum = 1.42907e+06, max_pflug_sum = 1.42907e+06
---------------------------
Starting posterior sampling...
Posterior sampling done.
Average standard deviation of the posterior W: 0.247905985995247
Use ngme_post_samples() to access posterior samples and ngme_result() to access latent model parameters.
Flavor: r-devel-linux-x86_64-fedora-gcc