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: 0.12.1
Depends: R (≥ 3.3.0)
Imports: coda, rstan, overlapping
Suggests: knitr, rmarkdown, testthat
Published: 2019-01-18
Author: Casey Youngflesh ORCID iD [aut, cre], Christian Che-Castaldo [ctb], Tyler Hardy [ctb]
Maintainer: Casey Youngflesh <caseyyoungflesh at gmail.com>
BugReports: http://github.com/caseyyoungflesh/MCMCvis/issues
License: GPL-3
URL: http://github.com/caseyyoungflesh/MCMCvis
NeedsCompilation: no
Citation: MCMCvis citation info
Materials: NEWS
In views: Bayesian
CRAN checks: MCMCvis results

Downloads:

Reference manual: MCMCvis.pdf
Vignettes: MCMCvis
Package source: MCMCvis_0.12.1.tar.gz
Windows binaries: r-devel: MCMCvis_0.12.1.zip, r-release: MCMCvis_0.12.1.zip, r-oldrel: MCMCvis_0.12.1.zip
OS X binaries: r-release: MCMCvis_0.12.1.tgz, r-oldrel: MCMCvis_0.11.2.tgz
Old sources: MCMCvis archive

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