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chkptstanr
View on CRAN: Click
here
Download and install chkptstanr package within the R console
Install from CRAN:
install.packages("chkptstanr")
Install from Github:
library("remotes")
install_github("cran/chkptstanr") Install by package version:
library("remotes")
install_version("chkptstanr", "0.1.1") Attach the package and use:
library("chkptstanr")
Maintained by
Donald Williams
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-04-22
Latest Update:
Description:
Fit Bayesian models in Stan
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'
can be used to generate the 'Stan' code. This
package is fully compatible with the R packages 'brms', 'posterior', 'cmdstanr',
and 'bayesplot'.
How to cite:
Donald Williams (2022). chkptstanr: Checkpoint MCMC Sampling with 'Stan'. R package version 0.1.1, https://cran.r-project.org/web/packages/chkptstanr. Accessed 26 Aug. 2026.
Previous versions and publish date:
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Other R packages that chkptstanr depends,
imports, suggests or enhances
Complete documentation for chkptstanr
Functions, R codes and Examples using
the chkptstanr R package
Some associated functions: chkpt_brms . chkpt_setup . chkpt_stan . chkptstanr-package . combine_chkpt_draws . create_folder . extract_chkpt_draws . extract_hmc_info . extract_stan_state . make_brmsfit . print.chkpt_brms . print.chkpt_setup . print.chkpt_stan .
Some associated R codes: chkpt-helpers.R . chkpt_brms.R . chkpt_setup.R . chkpt_stan.R . chkptstanr-package.R . combine_chkpt_draws.R . create_folder.R . extract_chkpt_draws.R . extract_hmc_info.R . extract_stan_state.R . make_brmsfit.R . progress_bar.R . Full chkptstanr package functions and examples
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