ggmcmc: Tools for Analyzing MCMC Simulations from Bayesian Inference

Tools for assessing and diagnosing convergence of Markov Chain Monte Carlo simulations, as well as for graphically display results from full MCMC analysis. The package also facilitates the graphical interpretation of models by providing flexible functions to plot the results against observed variables, and functions to work with hierarchical/multilevel batches of parameters (Fernández-i-Marín, 2016 <doi:10.18637/jss.v070.i09>).

Depends: R (≥ 3.5), dplyr (≥ 1.0.0), tidyr (≥ 1.1.0), ggplot2
Imports: GGally (≥ 1.1.0)
Suggests: coda, knitr, rmarkdown, ggthemes, gridExtra, Cairo, extrafont
Published: 2021-02-10
DOI: 10.32614/CRAN.package.ggmcmc
Author: Xavier Fernández i Marín ORCID iD [aut, cre]
Maintainer: Xavier Fernández i Marín <xavier.fim at>
License: GPL-2
NeedsCompilation: no
Citation: ggmcmc citation info
Materials: README NEWS
In views: Bayesian
CRAN checks: ggmcmc results


Reference manual: ggmcmc.pdf
Vignettes: Using the ggmcmc package
ggmcmc: Analysis of MCMC Samples and Bayesian Inference


Package source: ggmcmc_1.5.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ggmcmc_1.5.1.1.tgz, r-oldrel (arm64): ggmcmc_1.5.1.1.tgz, r-release (x86_64): ggmcmc_1.5.1.1.tgz, r-oldrel (x86_64): ggmcmc_1.5.1.1.tgz
Old sources: ggmcmc archive

Reverse dependencies:

Reverse imports: bspcov, EcoDiet, mfa, missingHE, MixSIAR, oHMMed, PLMIX, rbioacc
Reverse suggests: afdx, airGR, crmPack, metamisc, mrbayes, runMCMCbtadjust


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