BANFF (1.0)

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.

Maintainer: Zhou Lan
Author(s): Zhou Lan, Yize Zhao, Jian Kang, Tianwei Yu

License: GPL-2

Uses: coda, doParallel, DPpackage, foreach, igraph, mclust, network, pscl, tmvtnorm

Released about 4 years ago.