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: 3 months 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 (about 2 years ago)
- Last Synced: 2025-03-29T09:08:59.039Z (4 months ago)
- Topics: bayesian-data-analysis, ggplot2, graphical, jags, mcmc, r, stan
- Language: R
- Size: 2.31 MB
- Stars: 111
- Watchers: 10
- Forks: 32
- Open Issues: 5
-
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/).