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>).
| Version: | 1.5.1.2 |
| Depends: | R (≥ 3.5),dplyr (≥ 1.0.0),tidyr (≥ 1.1.0),ggplot2 |
| Imports: | GGally (≥ 1.1.0),MASS |
| Suggests: | coda,knitr,rmarkdown,ggthemes,gridExtra,Cairo,extrafont |
| Published: | 2025-10-02 |
| DOI: | 10.32614/CRAN.package.ggmcmc |
| Author: | Xavier Fernández i Marín [aut, cre] |
| Maintainer: | Xavier Fernández i Marín <xavier.fim at gmail.com> |
| BugReports: | https://github.com/xfim/ggmcmc/issues/ |
| License: | GPL-2 |
| URL: | http://xavier-fim.net/packages/ggmcmc/,https://github.com/xfim/ggmcmc/ |
| NeedsCompilation: | no |
| Citation: | ggmcmc citation info |
| Materials: | README,NEWS |
| In views: | Bayesian |
| CRAN checks: | ggmcmc results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=ggmcmcto link to this page.