Structure learning of Bayesian network using coordinate-descent algorithm. This algorithm is designed for discrete network assuming a multinomial data set, and we use a multi-logit model to do the regression. The algorithm is described in Gu, Fu and Zhou (2016) .

Documentation

Manual: discretecdAlgorithm.pdf
Vignette: None available.

Maintainer: Jiaying Gu <gujy.lola at gmail.com>

Author(s): Jiaying Gu*

Install package and any missing dependencies by running this line in your R console:

install.packages("discretecdAlgorithm")

Depends R (>= 3.2.3)
Imports Rcpp(>=0.11.0), sparsebnUtils(>=0.0.4), igraph
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Package discretecdAlgorithm
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Version 0.0.4
Published 2017-04-28
License GPL (>= 2)
BugReports
SystemRequirements C++11
NeedsCompilation yes
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Package source discretecdAlgorithm_0.0.4.tar.gz