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: 1.0
Depends: R (≥ 3.0.3), foreach, doParallel
Imports: DPpackage, igraph, mclust, pscl, tmvtnorm, network, coda, graphics, methods, stats, utils
Published: 2015-10-12
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

Downloads:

Reference manual: BANFF.pdf
Package source: BANFF_1.0.tar.gz
Windows binaries: r-devel: BANFF_1.0.zip, r-release: BANFF_1.0.zip, r-oldrel: BANFF_1.0.zip
OS X Snow Leopard binaries: r-release: BANFF_1.0.tgz, r-oldrel: BANFF_0.3.tgz
OS X Mavericks binaries: r-release: BANFF_1.0.tgz
Old sources: BANFF archive