BANFF: Bayesian Network Feature Finder

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

Downloads:

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 Mavericks binaries: r-release: BANFF_2.0.tgz, r-oldrel: BANFF_2.0.tgz
Old sources: BANFF archive

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