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: | 2.0 |
| Depends: | R (≥ 3.0.3) |
| Imports: | DPpackage, igraph, mclust, network, GGally, truncnorm, graphics, stats, flexmix, grDevices, foreach, doParallel, coda, pscl, methods |
| Published: | 2017-03-11 |
| Author: | Zhuxuan Jin, Zhou Lan, Yize Zhao, Jian Kang, Tianwei Yu |
| Maintainer: | Tianwei Yu <tianwei.yu at emory.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | BANFF results |
| Reference manual: | BANFF.pdf |
| Package source: | BANFF_2.0.tar.gz |
| Windows binaries: | r-devel: BANFF_2.0.zip, r-release: BANFF_2.0.zip, r-oldrel: BANFF_2.0.zip |
| OS X El Capitan binaries: | r-release: BANFF_2.0.tgz |
| OS X Mavericks binaries: | r-oldrel: BANFF_2.0.tgz |
| Old sources: | BANFF archive |
Please use the canonical form https://CRAN.R-project.org/package=BANFF to link to this page.