BANFF (2.0)

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

License: GPL-2

Uses: coda, doParallel, DPpackage, flexmix, foreach, GGally, igraph, mclust, network, pscl, truncnorm

Released over 2 years ago.

5 previous versions



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