https://github.com/xfim/ggmcmc

Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference
https://github.com/xfim/ggmcmc

bayesian-data-analysis ggplot2 graphical jags mcmc r stan

Last synced: 1 day ago
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Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference

• Host: GitHub
• URL: https://github.com/xfim/ggmcmc
• Owner: xfim
• Created: 2012-10-17T13:30:39.000Z (over 12 years ago)
• Default Branch: master
• Last Pushed: 2023-05-12T19:58:54.000Z (over 1 year ago)
• Last Synced: 2024-12-24T06:38:28.365Z (about 1 month ago)
• Topics: bayesian-data-analysis, ggplot2, graphical, jags, mcmc, r, stan
• Language: R
• Size: 2.31 MB
• Stars: 112
• Watchers: 12
• Forks: 31
• Open Issues: 4
• Metadata Files:
  • Readme: README.md

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README

        
# ggmcmc

ggmcmc is a tool 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.

To install or update, run:

```

install.packages("ggmcmc", dependencies=TRUE)

```

Check the main page with [resources for ggmcmc](http://xavier-fim.net/packages/ggmcmc/).

Report bugs, request improvements, ask questions or provide ideas at the [issues page](https://github.com/xfim/ggmcmc/issues/).