Fit Bayesian models in Stan <doi:10.18637/jss.v076.i01> with checkpointing, that is, the ability to stop the MCMC sampler at will, and then pick right back up where the MCMC sampler left off. Custom 'Stan' models can be fitted, or the popular package 'brms' <doi:10.18637/jss.v080.i01> can be used to generate the 'Stan' code. This package is fully compatible with the R packages 'brms', 'posterior', 'cmdstanr', and 'bayesplot'.
Version: | 0.1.1 |
Depends: | R (≥ 4.1.0) |
Imports: | brms (≥ 2.16.1), abind, methods, Rdpack, rstan |
Suggests: | cmdstanr, rmarkdown, knitr, posterior |
Published: | 2022-04-29 |
Author: | Donald Williams [aut, cre], Tyler Matta [aut], NWEA [cph] |
Maintainer: | Donald Williams <donald.williams at nwea.org> |
License: | Apache License 2.0 | file LICENSE |
NeedsCompilation: | no |
Additional_repositories: | https://mc-stan.org/r-packages/ |
Materials: | README |
CRAN checks: | chkptstanr results |
Reference manual: | chkptstanr.pdf |
Vignettes: |
checkpointing: brms checkpointing: Stan |
Package source: | chkptstanr_0.1.1.tar.gz |
Windows binaries: | r-devel: chkptstanr_0.1.1.zip, r-release: chkptstanr_0.1.1.zip, r-oldrel: chkptstanr_0.1.1.zip |
macOS binaries: | r-release (arm64): chkptstanr_0.1.1.tgz, r-oldrel (arm64): chkptstanr_0.1.1.tgz, r-release (x86_64): chkptstanr_0.1.1.tgz, r-oldrel (x86_64): chkptstanr_0.1.1.tgz |
Old sources: | chkptstanr archive |
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