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compareMCMCs: Compare MCMC Efficiency from 'nimble' and/or Other MCMC Engines

Manages comparison of MCMC performance metrics from multiple MCMC algorithms. These may come from different MCMC configurations using the 'nimble' package or from other packages. Plug-ins for JAGS via 'rjags' and Stan via 'rstan' are provided. It is possible to write plug-ins for other packages. Performance metrics are held in an MCMCresult class along with samples and timing data. It is easy to apply new performance metrics. Reports are generated as html pages with figures comparing sets of runs. It is possible to configure the html pages, including providing new figure components.

Version: 0.6.0
Depends: nimble
Imports: R6, ggplot2, grid, reshape2, xtable, coda, dplyr, rlang
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown, rjags, rstan
Published: 2024-10-01
DOI: 10.32614/CRAN.package.compareMCMCs
Author: Perry de Valpine [aut, cre], Sally Paganin [aut], Daniel Turek [aut], Christopher Paciorek [aut]
Maintainer: Perry de Valpine <pdevalpine at berkeley.edu>
BugReports: https://github.com/nimble-dev/compareMCMCs/issues
License: BSD_3_clause + file LICENSE | GPL-2 | GPL-3 [expanded from: BSD_3_clause + file LICENSE | GPL (≥ 2)]
Copyright: see file COPYRIGHTS
URL: https://github.com/nimble-dev/compareMCMCs
NeedsCompilation: no
Citation: compareMCMCs citation info
CRAN checks: compareMCMCs results

Documentation:

Reference manual: compareMCMCs.pdf
Vignettes: Overview of compareMCMCs (source)

Downloads:

Package source: compareMCMCs_0.6.0.tar.gz
Windows binaries: r-devel: compareMCMCs_0.6.0.zip, r-release: compareMCMCs_0.6.0.zip, r-oldrel: compareMCMCs_0.6.0.zip
macOS binaries: r-release (arm64): compareMCMCs_0.6.0.tgz, r-oldrel (arm64): compareMCMCs_0.6.0.tgz, r-release (x86_64): compareMCMCs_0.6.0.tgz, r-oldrel (x86_64): compareMCMCs_0.6.0.tgz
Old sources: compareMCMCs archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=compareMCMCs to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.