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-release (x86_64): sparsebnUtils_0.0.8.tgz, r-oldrel: sparsebnUtils_0.0.8.tgz
Old sources: sparsebnUtils archive

Reverse dependencies:

Reverse depends: sparsebn
Reverse imports: ccdrAlgorithm, discretecdAlgorithm, glmSparseNet

Linking:

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