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 [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

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