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: 0.9.4
Depends: R (≥ 3.3.0)
Imports: coda, rstan, grDevices, graphics, stats, overlapping
Suggests: knitr, rmarkdown
Published: 2018-01-27
Author: Casey Youngflesh
Maintainer: Casey Youngflesh <caseyyoungflesh at>
License: GPL-3
NeedsCompilation: no
Materials: NEWS
CRAN checks: MCMCvis results


Reference manual: MCMCvis.pdf
Vignettes: MCMCvis
Package source: MCMCvis_0.9.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: MCMCvis_0.9.4.tgz
OS X Mavericks binaries: r-oldrel: not available
Old sources: MCMCvis archive


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