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ggmcmc  

Tools for Analyzing MCMC Simulations from Bayesian Inference
View on CRAN: Click here


Download and install ggmcmc package within the R console
Install from CRAN:
install.packages("ggmcmc")

Install from Github:
library("remotes")
install_github("cran/ggmcmc")

Install by package version:
library("remotes")
install_version("ggmcmc", "1.5.1.2")



Attach the package and use:
library("ggmcmc")
Maintained by
Xavier Fernández i Marín
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-09-05
Latest Update: 2021-02-10
Description:
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 (Fern
How to cite:
Xavier Fernández i Marín (2012). ggmcmc: Tools for Analyzing MCMC Simulations from Bayesian Inference. R package version 1.5.1.2, https://cran.r-project.org/web/packages/ggmcmc. Accessed 01 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:43), 0.2 (2012-09-05 14:16), 0.3 (2012-12-09 09:05), 0.4.1 (2013-07-30 08:27), 0.4.2 (2013-08-12 07:37), 0.4 (2013-07-05 16:54), 0.5.1 (2013-10-03 19:41), 0.5 (2013-09-14 17:02), 0.6 (2014-12-30 13:34), 0.7.1 (2015-07-29 20:48), 0.7.2 (2015-09-03 16:53), 0.7.3 (2016-01-04 12:47), 0.8 (2016-03-14 18:10), 1.0 (2016-05-12 14:47), 1.1.1 (2019-01-23 19:57), 1.1 (2016-06-28 23:48), 1.2 (2019-02-16 00:10), 1.3 (2019-07-03 11:30), 1.4.1 (2020-04-02 13:00), 1.5.0 (2020-08-29 09:50), 1.5.1.1 (2021-02-10 11:50)
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Complete documentation for ggmcmc
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