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: 1.1
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>
License: GPL-2
NeedsCompilation: no
CRAN checks: BANFF results


Reference manual: BANFF.pdf
Package source: BANFF_1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Mavericks binaries: r-release: BANFF_1.1.tgz, r-oldrel: BANFF_1.1.tgz
Old sources: BANFF archive


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