I believe I may have found a bug in the conversion of cmdstan_csv files to stanfit objects for the latest version of Cmdstan (version 2.35.0) and the latest version of brms (version 2.21.0). The reprex below illustrates how there is an ERROR somewhere around this line in read_csv_as_stanfit:
fit1 <- brm(
count ~ zBase * Trt + (1|patient),
data = epilepsy, family = poisson(),
prior = prior(normal(0, 10), class = b) +
prior(cauchy(0, 2), class = sd),
backend = 'cmdstanr',
algorithm = 'meanfield'
)
Start sampling
------------------------------------------------------------
EXPERIMENTAL ALGORITHM:
This procedure has not been thoroughly tested and may be unstable
or buggy. The interface is subject to change.
------------------------------------------------------------
Gradient evaluation took 5.9e-05 seconds
1000 transitions using 10 leapfrog steps per transition would take 0.59 seconds.
Adjust your expectations accordingly!
Begin eta adaptation.
Iteration: 1 / 250 [ 0%] (Adaptation)
Iteration: 50 / 250 [ 20%] (Adaptation)
Iteration: 100 / 250 [ 40%] (Adaptation)
Iteration: 150 / 250 [ 60%] (Adaptation)
Iteration: 200 / 250 [ 80%] (Adaptation)
Success! Found best value [eta = 1] earlier than expected.
Begin stochastic gradient ascent.
iter ELBO delta_ELBO_mean delta_ELBO_med notes
100 -15951.188 1.000 1.000
200 -14930.295 0.534 1.000
300 -14491.509 0.049 0.068
400 -14176.069 0.026 0.030
500 -13941.417 0.020 0.022
600 -14716.655 0.035 0.053
700 -13284.329 0.080 0.108
800 -13657.967 0.068 0.108
900 -13281.227 0.028 0.028
1000 -15733.418 0.092 0.156
1100 -4994.938 1.153 2.150 MAY BE DIVERGING... INSPECT ELBO
1200 -3046.309 1.395 2.150 MAY BE DIVERGING... INSPECT ELBO
1300 -1868.384 0.635 0.640 MAY BE DIVERGING... INSPECT ELBO
1400 -1310.923 0.528 0.630 MAY BE DIVERGING... INSPECT ELBO
1500 -1019.463 0.356 0.425
1600 -855.615 0.239 0.286
1700 -790.732 0.137 0.191
1800 -758.822 0.062 0.082
1900 -739.077 0.034 0.042
2000 -740.193 0.014 0.027
Informational Message: The maximum number of iterations is reached! The algorithm may not have converged.
This variational approximation is not guaranteed to be meaningful.
Drawing a sample of size 1000 from the approximate posterior...
COMPLETED.
Finished in 0.4 seconds.
Error in `[.data.frame`(diagnostics[[i]], rstan_diagn_order) :
undefined columns selected
Here are my package / software versions:
packageVersion('brms')
[1] ‘2.21.0’
packageVersion('cmdstanr')
[1] ‘0.8.1’
cmdstanr::cmdstan_version()
[1] "2.35.0"
version
_
platform x86_64-w64-mingw32
arch x86_64
os mingw32
crt ucrt
system x86_64, mingw32
status
major 4
minor 4.1
year 2024
month 06
day 14
svn rev 86737
language R
version.string R version 4.4.1 (2024-06-14 ucrt)
nickname Race for Your Life
I believe I may have found a bug in the conversion of
cmdstan_csv
files tostanfit
objects for the latest version ofCmdstan
(version 2.35.0) and the latest version ofbrms
(version 2.21.0). The reprex below illustrates how there is an ERROR somewhere around this line inread_csv_as_stanfit
:Here are my package / software versions: