Last updated on 2026-09-03 07:51:50 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.2.0 | 561.20 | 261.19 | 822.39 | OK | |
| r-devel-linux-x86_64-debian-gcc | 0.2.0 | 477.64 | 219.37 | 697.01 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.2.0 | 327.00 | 165.81 | 492.81 | OK | |
| r-devel-linux-x86_64-fedora-gcc | 0.2.0 | 540.00 | 182.86 | 722.86 | OK | |
| r-devel-windows-x86_64 | 0.2.0 | 560.00 | 447.00 | 1007.00 | OK | |
| r-patched-linux-x86_64 | 0.2.0 | 564.62 | 310.85 | 875.47 | OK | |
| r-release-linux-x86_64 | 0.2.0 | 574.31 | 300.79 | 875.10 | OK | |
| r-release-macos-arm64 | 0.2.0 | 101.00 | -9.00 | 92.00 | OK | |
| r-release-macos-x86_64 | 0.2.0 | 335.00 | 176.00 | 511.00 | OK | |
| r-release-windows-x86_64 | 0.2.0 | 557.00 | 375.00 | 932.00 | OK | |
| r-oldrel-macos-arm64 | 0.2.0 | OK | ||||
| r-oldrel-macos-x86_64 | 0.2.0 | 319.00 | -28.00 | 291.00 | OK | |
| r-oldrel-windows-x86_64 | 0.2.0 | 749.00 | 498.00 | 1247.00 | OK |
Version: 0.2.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [72s/78s]
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)
> library(tsnet)
>
> test_check("tsnet")
SAMPLING FOR MODEL 'VAR_wishart' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.000482 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 4.82 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup)
Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling)
Chain 1: Iteration: 1000 / 1000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 1.193 seconds (Warm-up)
Chain 1: 0.901 seconds (Sampling)
Chain 1: 2.094 seconds (Total)
Chain 1:
The VAR coefficient matrix of the input model is stable.
The VAR coefficient matrix of the input model is stable.
The VAR coefficient matrix of the input model is not stable. It is recommended to refit the model and to inspect your data.
SAMPLING FOR MODEL 'VAR_wishart' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.000172 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.72 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup)
Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling)
Chain 1: Iteration: 1000 / 1000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 1.237 seconds (Warm-up)
Chain 1: 0.92 seconds (Sampling)
Chain 1: 2.157 seconds (Total)
Chain 1:
The VAR coefficient matrix of the input model is stable.
SAMPLING FOR MODEL 'VAR_wishart' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.000178 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.78 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup)
Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling)
Chain 1: Iteration: 1000 / 1000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 1.137 seconds (Warm-up)
Chain 1: 1.167 seconds (Sampling)
Chain 1: 2.304 seconds (Total)
Chain 1:
SAMPLING FOR MODEL 'VAR_wishart' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.000231 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.31 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup)
Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling)
Chain 1: Iteration: 1000 / 1000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 1.121 seconds (Warm-up)
Chain 1: 1.171 seconds (Sampling)
Chain 1: 2.292 seconds (Total)
Chain 1:
SAMPLING FOR MODEL 'VAR_wishart' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.000177 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.77 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup)
Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling)
Chain 1: Iteration: 1000 / 1000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 1.327 seconds (Warm-up)
Chain 1: 1.269 seconds (Sampling)
Chain 1: 2.596 seconds (Total)
Chain 1:
SAMPLING FOR MODEL 'VAR_wishart' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.000208 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.08 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup)
Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling)
Chain 1: Iteration: 1000 / 1000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 1.683 seconds (Warm-up)
Chain 1: 1.299 seconds (Sampling)
Chain 1: 2.982 seconds (Total)
Chain 1:
SAMPLING FOR MODEL 'VAR_wishart' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.000171 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.71 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup)
Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling)
Chain 1: Iteration: 1000 / 1000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 1.34 seconds (Warm-up)
Chain 1: 1.246 seconds (Sampling)
Chain 1: 2.586 seconds (Total)
Chain 1:
SAMPLING FOR MODEL 'VAR_wishart' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.00016 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.6 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup)
Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling)
Chain 1: Iteration: 1000 / 1000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 1.115 seconds (Warm-up)
Chain 1: 0.95 seconds (Sampling)
Chain 1: 2.065 seconds (Total)
Chain 1:
### Summary of the Norm-Based Comparison Test ###
#--- General Summary ---#
In the temporal network 2 of the 2 comparisons were significant.
In the contemporaneous network 2 of the 2 comparisons were significant.
#--- Model-specific Results ---#
For mod_a 0 of the reference distances of the temporal network and 0 of the reference distances of the contemporaneous network were larger than the empirical distance.
For mod_b 0 of the reference distances of the temporal network and 0 of the reference distances of the contemporaneous network were larger than the empirical distance.
SAMPLING FOR MODEL 'VAR_wishart' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.000184 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.84 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup)
Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling)
Chain 1: Iteration: 1000 / 1000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 1.333 seconds (Warm-up)
Chain 1: 1.183 seconds (Sampling)
Chain 1: 2.516 seconds (Total)
Chain 1:
### Summary of the Bayesian GVAR model ###
#--- General Summary ---#
Model was estimated using MCMC with 1 chains using 500 iterations each.Warmup was set to 500 iterations.
The model was estimated using the IW covariance prior.
#--- Parameter Summary ---#
The posterior mean of the temporal coefficients is:
V1 V2 V3
V1.l1 0.35740909 0.41771598 0.01899209
V2.l1 0.02361078 0.07741127 0.67846128
V3.l1 -0.19026497 0.54218276 0.02635846
Rownames correspond to the independent variable, column names to the dependent variable.
The posterior mean of the contemporaneous coefficients is:
V1 V2 V3
V1 0.0000000 0.3050037 -0.5519888
V2 0.3050037 0.0000000 -0.3416608
V3 -0.5519888 -0.3416608 0.0000000
Chain 1: ------------------------------------------------------------
Chain 1: EXPERIMENTAL ALGORITHM:
Chain 1: This procedure has not been thoroughly tested and may be unstable
Chain 1: or buggy. The interface is subject to change.
Chain 1: ------------------------------------------------------------
Chain 1:
Chain 1:
Chain 1:
Chain 1: Gradient evaluation took 0.000189 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.89 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Begin eta adaptation.
Chain 1: Iteration: 1 / 250 [ 0%] (Adaptation)
Chain 1: Iteration: 50 / 250 [ 20%] (Adaptation)
Chain 1: Iteration: 100 / 250 [ 40%] (Adaptation)
Chain 1: Iteration: 150 / 250 [ 60%] (Adaptation)
Chain 1: Iteration: 200 / 250 [ 80%] (Adaptation)
Chain 1: Success! Found best value [eta = 1] earlier than expected.
Chain 1:
Chain 1: Begin stochastic gradient ascent.
Chain 1: iter ELBO delta_ELBO_mean delta_ELBO_med notes
Chain 1: 100 -366.007 1.000 1.000
Chain 1: 200 -328.753 0.557 1.000
Chain 1: 300 -331.639 0.374 0.113
Chain 1: 400 -324.626 0.286 0.113
Chain 1: 500 -324.821 0.229 0.022
Chain 1: 600 -325.544 0.191 0.022
Chain 1: 700 -324.359 0.164 0.009
Chain 1: 800 -323.737 0.144 0.009
Chain 1: 900 -323.614 0.128 0.004
Chain 1: 1000 -325.172 0.116 0.005
Chain 1: 1100 -325.608 0.016 0.004
Chain 1: 1200 -325.339 0.005 0.002
Chain 1: 1300 -323.333 0.004 0.002
Chain 1: 1400 -324.886 0.003 0.002
Chain 1: 1500 -323.981 0.003 0.003
Chain 1: 1600 -323.837 0.003 0.003
Chain 1: 1700 -323.486 0.002 0.002
Chain 1: 1800 -323.610 0.002 0.001
Chain 1: 1900 -322.811 0.003 0.002
Chain 1: 2000 -322.851 0.002 0.001
Chain 1: 2100 -323.128 0.002 0.001
Chain 1: 2200 -324.507 0.002 0.002
Chain 1: 2300 -323.153 0.002 0.002
Chain 1: 2400 -323.545 0.002 0.001
Chain 1: 2500 -323.103 0.002 0.001
Chain 1: 2600 -323.984 0.002 0.001
Chain 1: 2700 -324.827 0.002 0.002
Chain 1: 2800 -322.781 0.003 0.003
Chain 1: 2900 -323.339 0.003 0.003
Chain 1: 3000 -323.060 0.003 0.003
Chain 1: 3100 -323.849 0.003 0.003
Chain 1: 3200 -325.448 0.003 0.003
Chain 1: 3300 -323.404 0.003 0.003
Chain 1: 3400 -322.944 0.003 0.003
Chain 1: 3500 -323.149 0.003 0.003
Chain 1: 3600 -323.022 0.003 0.002
Chain 1: 3700 -323.243 0.003 0.002
Chain 1: 3800 -324.346 0.002 0.002
Chain 1: 3900 -323.060 0.003 0.002
Chain 1: 4000 -324.202 0.003 0.003
Chain 1: 4100 -323.108 0.003 0.003
Chain 1: 4200 -323.273 0.002 0.003
Chain 1: 4300 -323.245 0.002 0.001
Chain 1: 4400 -324.923 0.002 0.003
Chain 1: 4500 -323.381 0.003 0.003
Chain 1: 4600 -323.093 0.003 0.003
Chain 1: 4700 -323.484 0.003 0.003
Chain 1: 4800 -324.220 0.003 0.003
Chain 1: 4900 -323.915 0.002 0.002
Chain 1: 5000 -323.191 0.002 0.002
Chain 1: 5100 -323.711 0.002 0.002
Chain 1: 5200 -323.718 0.002 0.002
Chain 1: 5300 -322.616 0.002 0.002
Chain 1: 5400 -322.411 0.002 0.002
Chain 1: 5500 -323.006 0.002 0.002
Chain 1: 5600 -323.530 0.002 0.002
Chain 1: 5700 -322.823 0.002 0.002
Chain 1: 5800 -324.050 0.002 0.002
Chain 1: 5900 -324.808 0.002 0.002
Chain 1: 6000 -323.451 0.002 0.002
Chain 1: 6100 -322.841 0.002 0.002
Chain 1: 6200 -322.949 0.002 0.002
Chain 1: 6300 -323.522 0.002 0.002
Chain 1: 6400 -324.231 0.002 0.002
Chain 1: 6500 -322.877 0.002 0.002
Chain 1: 6600 -323.428 0.002 0.002
Chain 1: 6700 -323.870 0.002 0.002
Chain 1: 6800 -323.123 0.002 0.002
Chain 1: 6900 -322.088 0.002 0.002
Chain 1: 7000 -322.808 0.002 0.002
Chain 1: 7100 -323.107 0.002 0.002
Chain 1: 7200 -324.714 0.002 0.002
Chain 1: 7300 -323.674 0.003 0.002
Chain 1: 7400 -322.742 0.003 0.003
Chain 1: 7500 -323.028 0.002 0.002
Chain 1: 7600 -324.506 0.003 0.003
Chain 1: 7700 -324.498 0.003 0.003
Chain 1: 7800 -323.244 0.003 0.003
Chain 1: 7900 -322.876 0.002 0.003
Chain 1: 8000 -323.706 0.003 0.003
Chain 1: 8100 -323.235 0.003 0.003
Chain 1: 8200 -323.767 0.002 0.003
Chain 1: 8300 -322.757 0.002 0.003
Chain 1: 8400 -324.680 0.003 0.003
Chain 1: 8500 -323.005 0.003 0.003
Chain 1: 8600 -322.719 0.003 0.003
Chain 1: 8700 -323.845 0.003 0.003
Chain 1: 8800 -323.374 0.003 0.003
Chain 1: 8900 -322.760 0.003 0.003
Chain 1: 9000 -323.228 0.003 0.002
Chain 1: 9100 -322.547 0.003 0.002
Chain 1: 9200 -322.872 0.003 0.002
Chain 1: 9300 -323.376 0.002 0.002
Chain 1: 9400 -323.579 0.002 0.002
Chain 1: 9500 -322.491 0.002 0.002
Chain 1: 9600 -323.524 0.002 0.002
Chain 1: 9700 -323.585 0.002 0.002
Chain 1: 9800 -322.857 0.002 0.002
Chain 1: 9900 -322.758 0.002 0.002
Chain 1: 10000 -323.334 0.002 0.002
Chain 1: Informational Message: The maximum number of iterations is reached! The algorithm may not have converged.
Chain 1: This variational approximation is not guaranteed to be meaningful.
Chain 1:
Chain 1: Drawing a sample of size 500 from the approximate posterior...
Chain 1: COMPLETED.
### Summary of the Bayesian GVAR model ###
#--- General Summary ---#
Model was estimated using variational inference with 500 iterations.
The model was estimated using the IW covariance prior.
#--- Parameter Summary ---#
The posterior mean of the temporal coefficients is:
V1 V2 V3
V1.l1 0.3794181 0.43016015 0.02942168
V2.l1 0.0308474 0.08624577 0.69837920
V3.l1 -0.1966141 0.55320783 0.01541016
Rownames correspond to the independent variable, column names to the dependent variable.
The posterior mean of the contemporaneous coefficients is:
V1 V2 V3
V1 0.0000000 0.3251203 -0.5384203
V2 0.3251203 0.0000000 -0.3222790
V3 -0.5384203 -0.3222790 0.0000000
SAMPLING FOR MODEL 'VAR_wishart' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.000157 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.57 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup)
Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling)
Chain 1: Iteration: 1000 / 1000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 1.146 seconds (Warm-up)
Chain 1: 0.896 seconds (Sampling)
Chain 1: 2.042 seconds (Total)
Chain 1:
Chain 1: ------------------------------------------------------------
Chain 1: EXPERIMENTAL ALGORITHM:
Chain 1: This procedure has not been thoroughly tested and may be unstable
Chain 1: or buggy. The interface is subject to change.
Chain 1: ------------------------------------------------------------
Chain 1:
Chain 1:
Chain 1:
Chain 1: Gradient evaluation took 0.000173 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.73 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Begin eta adaptation.
Chain 1: Iteration: 1 / 250 [ 0%] (Adaptation)
Chain 1: Iteration: 50 / 250 [ 20%] (Adaptation)
Chain 1: Iteration: 100 / 250 [ 40%] (Adaptation)
Chain 1: Iteration: 150 / 250 [ 60%] (Adaptation)
Chain 1: Iteration: 200 / 250 [ 80%] (Adaptation)
Chain 1: Success! Found best value [eta = 1] earlier than expected.
Chain 1:
Chain 1: Begin stochastic gradient ascent.
Chain 1: iter ELBO delta_ELBO_mean delta_ELBO_med notes
Chain 1: 100 -55661823126100239792144443111047873006862641154871971408181706621334820798248252578364569913860279544582479874891246143812272888623149115684202148846441647081613272170670206030818103420641358068937624559550464.000 1.000 1.000
Chain 1: 200 -267723795768099400798645637514868443638078997737016496692082144081203034630132544709247509841713814206817038688418375676565415820626085041626152960.000 103953821075946025105171131353865345081835639979183184875094016.000 207907642151892050210342262707730690163671279958366369750188032.000
Chain 1: 300 -99291874520843871860816600384514078977742052942074810363600567244840704328194869426194212184784472705261300347044486008719546231471109680849217928851736240324608.000 69302547383964012930786907020017213899127841454135092896071680.000 1.000
Chain 1: 400 -23035860868575693249136792873755053371875936338906800592483207983359557751006528738113935701034646874658773914319657096991161556865691524860423826269479711432463968135806976.000 51976910537973012552585565676932672540917819989591592437547008.000 1.000
Chain 1: 500 -2343142554068189242060036733160409917442100321916497639033573371981684670152433875432467213919898548171020261664479931937062897587756933110080471040.000 41581528430378407758472144212010328339476704872481055737643008.000 1.000
Chain 1: 600 -2834960317632412628268959206567172842134325533459612425730912402036305389642273668994608669408472955063861713289098846061831976224680070187335164397778825499144132080141682337644544.000 34651273691982006465393453510008606949563920727067546448035840.000 1.000
Chain 1: 700 -36685005484944206088143993212353772143419211910227085216605514820768000932928533189526162347997129276729517584841248964837702611014533589835291820270365342692569539134255817293824.000 29701091735984577785907355983413023704361057451483689174171648.000 1.000
Saving _problems/test-stan_gvar-29.R
Saving _problems/test-stan_gvar-31.R
SAMPLING FOR MODEL 'VAR_LKJ' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.000145 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.45 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup)
Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling)
Chain 1: Iteration: 1000 / 1000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.976 seconds (Warm-up)
Chain 1: 1.065 seconds (Sampling)
Chain 1: 2.041 seconds (Total)
Chain 1:
SAMPLING FOR MODEL 'VAR_wishart' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.000175 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.75 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup)
Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling)
Chain 1: Iteration: 1000 / 1000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 1.317 seconds (Warm-up)
Chain 1: 1.11 seconds (Sampling)
Chain 1: 2.427 seconds (Total)
Chain 1:
SAMPLING FOR MODEL 'VAR_wishart' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.000171 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.71 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup)
Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling)
Chain 1: Iteration: 1000 / 1000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 1.218 seconds (Warm-up)
Chain 1: 1.052 seconds (Sampling)
Chain 1: 2.27 seconds (Total)
Chain 1:
Error : Exception: mismatch in dimension declared and found in context; processing stage=data initialization; variable name=Y_future; position=0; dims declared=(0,3); dims found=(1,3) (in 'VAR_LKJ_beep', line 18, column 2 to column 34)
failed to create the sampler; sampling not done
SAMPLING FOR MODEL 'VAR_wishart_beep' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.000252 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.52 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup)
Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling)
Chain 1: Iteration: 1000 / 1000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.934 seconds (Warm-up)
Chain 1: 0.863 seconds (Sampling)
Chain 1: 1.797 seconds (Total)
Chain 1:
SAMPLING FOR MODEL 'VAR_wishart' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.000196 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.96 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup)
Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling)
Chain 1: Iteration: 1000 / 1000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 1.512 seconds (Warm-up)
Chain 1: 1.345 seconds (Sampling)
Chain 1: 2.857 seconds (Total)
Chain 1:
SAMPLING FOR MODEL 'VAR_LKJ' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.000146 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.46 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup)
Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling)
Chain 1: Iteration: 1000 / 1000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.941 seconds (Warm-up)
Chain 1: 0.948 seconds (Sampling)
Chain 1: 1.889 seconds (Total)
Chain 1:
SAMPLING FOR MODEL 'VAR_wishart' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.000328 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 3.28 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 1000 [ 0%] (Warmup)
Chain 1: Iteration: 500 / 1000 [ 50%] (Warmup)
Chain 1: Iteration: 501 / 1000 [ 50%] (Sampling)
Chain 1: Iteration: 1000 / 1000 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 7.783 seconds (Warm-up)
Chain 1: 7.083 seconds (Sampling)
Chain 1: 14.866 seconds (Total)
Chain 1:
[ FAIL 2 | WARN 14 | SKIP 0 | PASS 106 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-stan_gvar.R:24:3'): stan_gvar works with variational inference ──
Expected `... <- NULL` not to throw any errors.
Actually got a <std::domain_error> with message:
stan::variational::normal_meanfield::calc_grad: The number of dropped evaluations has reached its maximum amount (10). Your model may be either severely ill-conditioned or misspecified.
── Error ('test-stan_gvar.R:31:3'): stan_gvar works with variational inference ──
<objectNotFoundError/error/condition>
Error in `eval(code, test_env)`: object 'result' not found
Backtrace:
▆
1. └─testthat::expect_equal(...) at test-stan_gvar.R:31:3
2. └─testthat::quasi_label(enquo(object), label)
3. └─rlang::eval_bare(expr, quo_get_env(quo))
[ FAIL 2 | WARN 14 | SKIP 0 | PASS 106 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc