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pmwg
View on CRAN: Click
here
Download and install pmwg package within the R console
Install from CRAN:
install.packages("pmwg")
Install from Github:
library("remotes")
install_github("cran/pmwg") Install by package version:
library("remotes")
install_version("pmwg", "0.2.7") Attach the package and use:
library("pmwg")
Maintained by
Gavin Cooper
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-09-02
Latest Update: 2024-01-31
Description:
Provides an R implementation of the Particle Metropolis within
Gibbs sampler for model parameter, covariance matrix and random effect
estimation. A more general implementation of the sampler based on the paper
by Gunawan, D., Hawkins, G. E., Tran, M. N., Kohn, R., & Brown, S. D.
(2020) . An HTML tutorial document describing
the package is available at
and
includes several detailed examples, some background and troubleshooting
steps.
How to cite:
Gavin Cooper (2020). pmwg: Particle Metropolis Within Gibbs. R package version 0.2.7, https://cran.r-project.org/web/packages/pmwg. Accessed 07 Oct. 2026.
Previous versions and publish date:
Other packages that cited pmwg R package
View pmwg citation profile
Other R packages that pmwg depends,
imports, suggests or enhances
Complete documentation for pmwg
Functions, R codes and Examples using
the pmwg R package
Some associated functions: accept_progress_bar . accept_rate . as_mcmc . augment_sampler_epsilon . check_adapted . check_efficient . check_run_stage_args . conditional_parms . create_efficient . extend_sampler . extract_samples . forstmann . gen_particles . gibbs_step . gibbs_step_err . init . is.pmwgs . last_sample . new_sample . new_sample_err . numbers_from_proportion . particle_draws . particle_select_err . pmwg-package . pmwgs . relabel_samples . riwish . run_stage . rwish . sample_store . sampled_forstmann . set_epsilon . set_mix . set_proposal . test_sampler_adapted . trim_na . unwind . update_epsilon . update_progress_bar . wind .
Some associated R codes: data.R . efficient.R . init.R . messaging.R . particle_sampler.R . pmwg-package.R . sampling.R . store.R . vendored.R . Full pmwg package functions and examples
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