Providing wrapper functions to implement Bayesian analysis in JAGS. Some major features include monitoring convergence of a MCMC model using Rubin and Gelman Rhat statistics, automatically running a MCMC model till it converges, and implementing parallel processing of a MCMC model for multiple chains.
| Version: |
0.6-1 |
| Depends: |
R (≥ 2.14.0), rjags (≥ 3-3) |
| Imports: |
abind, coda (≥ 0.13), graphics, grDevices, methods, R2WinBUGS, parallel, stats, utils |
| Published: |
2020-04-27 |
| Author: |
Yu-Sung Su,
Masanao Yajima, |
| Maintainer: |
Yu-Sung Su <suyusung at tsinghua.edu.cn> |
| BugReports: |
https://github.com/suyusung/R2jags/issues/ |
| License: |
GPL (> 2) |
| NeedsCompilation: |
no |
| SystemRequirements: |
JAGS (http://mcmc-jags.sourceforge.net) |
| Materials: |
README ChangeLog |
| In views: |
Bayesian |
| CRAN checks: |
R2jags results |