sparsebnUtils: Utilities for Learning Sparse Bayesian Networks

A set of tools for representing and estimating sparse Bayesian networks from continuous and discrete data, as described in Aragam, Gu, and Zhou (2017) <arXiv:1703.04025>.

Version:	0.0.8
Depends:	R (≥ 3.2.3)
Imports:	Matrix, stats, utils, methods, nnet
Suggests:	bnlearn, graph, igraph, network, RCy3, testthat
Published:	2021-01-27
Author:	Bryon Aragam [aut, cre], Jiaying Gu [aut]
Maintainer:	Bryon Aragam <sparsebn at gmail.com>
BugReports:	https://github.com/itsrainingdata/sparsebnUtils/issues
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://github.com/itsrainingdata/sparsebnUtils
NeedsCompilation:	no
Citation:	sparsebnUtils citation info
Materials:	README NEWS
CRAN checks:	sparsebnUtils results

Documentation:

Reference manual:

sparsebnUtils.pdf

Downloads:

Package source:	sparsebnUtils_0.0.8.tar.gz
Windows binaries:	r-devel: sparsebnUtils_0.0.8.zip, r-release: sparsebnUtils_0.0.8.zip, r-oldrel: sparsebnUtils_0.0.8.zip
macOS binaries:	r-release (arm64): sparsebnUtils_0.0.8.tgz, r-oldrel (arm64): sparsebnUtils_0.0.8.tgz, r-release (x86_64): sparsebnUtils_0.0.8.tgz, r-oldrel (x86_64): sparsebnUtils_0.0.8.tgz
Old sources:	sparsebnUtils archive

Reverse dependencies:

Reverse imports:

discretecdAlgorithm

Linking:

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