chkptstanr: Checkpoint MCMC Sampling with 'Stan'

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

Documentation:

Reference manual:	chkptstanr.pdf
Vignettes:	checkpointing: brms checkpointing: Stan

Downloads:

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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