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 JAGS, Stan, or other MCMC samplers.

Version: 0.14.0
Depends: R (≥ 3.3.0)
Imports: coda, rstan, methods, overlapping
Suggests: knitr, rmarkdown, testthat
Published: 2020-03-25
Author: Casey Youngflesh ORCID iD [aut, cre], Christian Che-Castaldo ORCID iD [aut], Tyler Hardy [ctb]
Maintainer: Casey Youngflesh <caseyyoungflesh at>
License: GPL-3
NeedsCompilation: no
Citation: MCMCvis citation info
Materials: NEWS
In views: Bayesian
CRAN checks: MCMCvis results


Reference manual: MCMCvis.pdf
Vignettes: MCMCvis
Package source: MCMCvis_0.14.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: MCMCvis_0.14.0.tgz, r-oldrel: MCMCvis_0.14.0.tgz
Old sources: MCMCvis archive


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