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: 0.0.7
Depends: R (≥ 3.2.3)
Imports: Matrix, stats, utils, methods, nnet
Suggests: bnlearn, graph, igraph, network, RCy3, testthat
Published: 2019-05-29
Author: Bryon Aragam [aut, cre], Jiaying Gu [aut]
Maintainer: Bryon Aragam <sparsebn at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: sparsebnUtils citation info
Materials: README NEWS
CRAN checks: sparsebnUtils results


Reference manual: sparsebnUtils.pdf
Package source: sparsebnUtils_0.0.7.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: sparsebnUtils_0.0.6.tgz, r-oldrel: sparsebnUtils_0.0.7.tgz
Old sources: sparsebnUtils archive

Reverse dependencies:

Reverse depends: sparsebn
Reverse imports: ccdrAlgorithm, discretecdAlgorithm


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