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: | 1.1 |
| Depends: | R (≥ 3.0.3), foreach, doParallel |
| Imports: | DPpackage, igraph, mclust, pscl, tmvtnorm, network, coda, graphics, methods, stats, utils |
| Published: | 2016-07-12 |
| 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 |
| Reference manual: | BANFF.pdf |
| Package source: | BANFF_1.1.tar.gz |
| Windows binaries: | r-devel: BANFF_1.1.zip, r-release: BANFF_1.1.zip, r-oldrel: BANFF_1.1.zip |
| OS X Mavericks binaries: | r-release: BANFF_1.1.tgz, r-oldrel: BANFF_1.1.tgz |
| Old sources: | BANFF archive |
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