MCMCvis: Tools to Visualize, Manipulate, and Summarize MCMC Output

Performs key functions for MCMC analysis using minimal code - visualizes, manipulates, and summarizes MCMC output. Functions support simple and straightforward subsetting of model parameters within the calls, and produce presentable and 'publication-ready' output. MCMC output may be derived from Bayesian model output fit with 'Stan', 'NIMBLE', 'JAGS', and other software.

Version: 0.16.3
Depends: R (≥ 3.5.0)
Imports: coda, rstan, methods, overlapping, colorspace
Suggests: knitr, rmarkdown, testthat, cmdstanr (≥ 0.5.0), posterior
Published: 2023-10-17
Author: Casey Youngflesh ORCID iD [aut, cre], Christian Che-Castaldo ORCID iD [aut], Tyler Hardy [ctb]
Maintainer: Casey Youngflesh <caseyyoungflesh at gmail.com>
BugReports: https://github.com/caseyyoungflesh/MCMCvis/issues
License: GPL-3
URL: https://github.com/caseyyoungflesh/MCMCvis
NeedsCompilation: no
Additional_repositories: https://mc-stan.org/r-packages/
Citation: MCMCvis citation info
Materials: NEWS
In views: Bayesian
CRAN checks: MCMCvis results

Documentation:

Reference manual: MCMCvis.pdf
Vignettes: MCMCvis

Downloads:

Package source: MCMCvis_0.16.3.tar.gz
Windows binaries: r-devel: MCMCvis_0.16.3.zip, r-release: MCMCvis_0.16.3.zip, r-oldrel: MCMCvis_0.16.3.zip
macOS binaries: r-release (arm64): MCMCvis_0.16.3.tgz, r-oldrel (arm64): MCMCvis_0.16.3.tgz, r-release (x86_64): MCMCvis_0.16.3.tgz
Old sources: MCMCvis archive

Reverse dependencies:

Reverse imports: BCEA

Linking:

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