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 DOI: 10.32614/CRAN.package.chkptstanr 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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=chkptstanr to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4