Last updated on 2026-09-30 01:55:53 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 1.0.0 | 670.24 | 511.11 | 1181.35 | OK | |
| r-devel-linux-x86_64-debian-gcc | 1.0.0 | 591.46 | 414.14 | 1005.60 | OK | |
| r-devel-linux-x86_64-fedora-clang | 1.0.0 | 480.00 | 5481.57 | 5961.57 | ERROR | |
| r-devel-linux-x86_64-fedora-gcc | 1.0.0 | 630.00 | 5537.55 | 6167.55 | ERROR | |
| r-devel-windows-x86_64 | 0.9.8 | 612.00 | 465.00 | 1077.00 | OK | |
| r-patched-linux-x86_64 | 0.9.8 | 512.28 | 361.76 | 874.04 | OK | |
| r-release-linux-x86_64 | 0.9.8 | 511.24 | 357.43 | 868.67 | OK | |
| r-release-macos-arm64 | 1.0.0 | 144.00 | -14.00 | 130.00 | OK | |
| r-release-macos-x86_64 | 1.0.0 | 468.00 | 331.00 | 799.00 | OK | |
| r-release-windows-x86_64 | 1.0.0 | 610.00 | 440.00 | 1050.00 | OK | |
| r-oldrel-macos-arm64 | 1.0.0 | 186.00 | -19.00 | 167.00 | OK | |
| r-oldrel-macos-x86_64 | 1.0.0 | 454.00 | 268.00 | 722.00 | OK | |
| r-oldrel-windows-x86_64 | 0.9.8 | 708.00 | 503.00 | 1211.00 | OK |
Version: 1.0.0
Check: whether package can be installed
Result: WARN
Found the following significant warnings:
block.cpp:2418:11: warning: ignoring return value of function declared with 'nodiscard' attribute [-Wunused-result]
See ‘/data/localhost/ripley/R/packages/tests-clang/ngme2.Rcheck/00install.out’ for details.
* used C++ compiler: ‘clang version 23.1.2’
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 1.0.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [89m/77m]
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 1.0.0
- See our homepage: https://davidbolin.github.io/ngme2 for more details.
Attaching package: 'ngme2'
The following object is masked from 'package:stats':
ar
OMP: Warning #96: Cannot form a team with 4 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).
stop 1:
------------------------------------------------------------------------------------------------------------------------------------
Param: theta rho rho (1st) rho (2nd) mu_1 mu_2 sigma_1 sigma_2 nu_1 nu_2 meas_sigma_1
------------------------------------------------------------------------------------------------------------------------------------
R_hat: 1.610 2.109 2.418 4.942 2.662 3.310 2.546 2.135 3.053 2.875 1.637
------------------------------------------------------------------------------------------------------------------------------------
List of 6
$ mean : num [1:3] -1.225 0.652 -3.262
$ sd : num [1:3] 0.539 0.763 0.96
$ 0.05q : num [1:3] -2.106 -0.435 -4.826
$ 0.95q : num [1:3] -0.344 2.012 -1.679
$ median: num [1:3] -1.244 0.602 -3.213
$ mode : num [1:3] -1.3 0.5 -3.1
- attr(*, "samples")= num [1:10, 1:500] -2.799 -2.62 -2.631 -0.233 2.22 ...
Starting estimation...
iteration = : 1
grad.norm() = 1.4118
---------------------------
iteration = : 2
grad.norm() = 0.408099
---------------------------
iteration = : 3
grad.norm() = 0.249287
---------------------------
iteration = : 4
grad.norm() = 0.110781
---------------------------
iteration = : 5
grad.norm() = 0.0911561
---------------------------
iteration = : 6
grad.norm() = 0.105111
---------------------------
iteration = : 7
grad.norm() = 0.133394
---------------------------
iteration = : 8
grad.norm() = 0.065317
---------------------------
iteration = : 9
grad.norm() = 0.051223
---------------------------
iteration = : 10
grad.norm() = 0.0793906
---------------------------
[iter 10] 0/11 converged worst: R_hat 9.202 (nu_1), drift/100 0.00%
theta: theta=0.0686 rho=0.7018 kappa (1st)=0.0120 kappa (2nd)=0.5105 mu_1=0.2150 mu_2=0.2130 sigma_1=-0.1870 sigma_2=0.1264 nu_1=0.0336 nu_2=0.1899 meas_sigma_1=-0.6818
Starting posterior sampling...
Posterior sampling done.
Average standard deviation of the posterior W: 0.239583621615535
Use ngme_post_samples() to access posterior samples and ngme_result() to access latent model parameters.
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 1.0.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [90m/48m]
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 1.0.0
- See our homepage: https://davidbolin.github.io/ngme2 for more details.
Attaching package: 'ngme2'
The following object is masked from 'package:stats':
ar
stop 1:
------------------------------------------------------------------------------------------------------------------------------------
Param: theta rho rho (1st) rho (2nd) mu_1 mu_2 sigma_1 sigma_2 nu_1 nu_2 meas_sigma_1
------------------------------------------------------------------------------------------------------------------------------------
R_hat: 2.400 1.851 3.316 2.329 4.264 2.878 3.727 2.760 1.818 1.634 4.822
------------------------------------------------------------------------------------------------------------------------------------
List of 6
$ mean : num [1:3] -1.123 0.367 -1.726
$ sd : num [1:3] 0.885 0.821 0.973
$ 0.05q : num [1:3] -2.8 -0.9 -3.28
$ 0.95q : num [1:3] 0.185 1.884 -0.146
$ median: num [1:3] -1.094 0.297 -1.73
$ mode : num [1:3] -1.3 0.3 -1.3
- attr(*, "samples")= num [1:10, 1:500] -2.508 -2.802 -3.934 0.585 0.665 ...
Starting estimation...
iteration = : 1
grad.norm() = 1.40988
---------------------------
iteration = : 2
grad.norm() = 0.417141
---------------------------
iteration = : 3
grad.norm() = 0.244426
---------------------------
iteration = : 4
grad.norm() = 0.149198
---------------------------
iteration = : 5
grad.norm() = 0.11251
---------------------------
iteration = : 6
grad.norm() = 0.0915698
---------------------------
iteration = : 7
grad.norm() = 0.0583889
---------------------------
iteration = : 8
grad.norm() = 0.0856755
---------------------------
iteration = : 9
grad.norm() = 0.0494385
---------------------------
iteration = : 10
grad.norm() = 0.0554743
---------------------------
[iter 10] 0/11 converged worst: R_hat 12.668 (mu_1), drift/100 0.00%
theta: theta=0.3880 rho=-0.0078 kappa (1st)=0.1928 kappa (2nd)=0.3614 mu_1=0.2692 mu_2=0.2073 sigma_1=-0.0700 sigma_2=-0.1551 nu_1=0.1640 nu_2=0.0670 meas_sigma_1=-0.6843
Starting posterior sampling...
Posterior sampling done.
Average standard deviation of the posterior W: 0.224301602161384
Use ngme_post_samples() to access posterior samples and ngme_result() to access latent model parameters.
Flavor: r-devel-linux-x86_64-fedora-gcc