Provides a full package of posterior inference, model comparison, and graphical illustration of model fitting. A parallel computing algorithm for the Markov chain Monte Carlo (MCMC) based posterior inference and an Expectation-Maximization (EM) based algorithm for posterior approximation are are developed, both of which greatly reduce the computational time for model inference.
| Version: |
0.3 |
| Depends: |
R (≥ 3.0.3), foreach, doParallel |
| Imports: |
DPpackage, igraph, mclust, pscl, tmvtnorm, network, coda |
| Published: |
2015-02-16 |
| Author: |
Zhou Lan, Yize Zhao, Jian Kang, Tianwei Yu |
| Maintainer: |
Zhou Lan <zlan6 at gatech.edu> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| CRAN checks: |
BANFF results |