sparsebnUtils: Utilities for Learning Sparse Bayesian Networks

A set of tools for representing and estimating sparse Bayesian networks from continuous and discrete data.

Version: 0.0.4
Depends: R (≥ 3.2.3)
Imports: Matrix, stats, utils, methods, nnet
Suggests: bnlearn, graph, igraph, network, testthat
Published: 2017-03-09
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
Materials: README NEWS
CRAN checks: sparsebnUtils results

Downloads:

Reference manual: sparsebnUtils.pdf
Package source: sparsebnUtils_0.0.4.tar.gz
Windows binaries: r-devel: sparsebnUtils_0.0.4.zip, r-release: sparsebnUtils_0.0.4.zip, r-oldrel: sparsebnUtils_0.0.4.zip
OS X El Capitan binaries: r-release: sparsebnUtils_0.0.4.tgz
OS X Mavericks binaries: r-oldrel: sparsebnUtils_0.0.4.tgz
Old sources: sparsebnUtils archive

Reverse dependencies:

Reverse depends: sparsebn
Reverse imports: ccdrAlgorithm, discretecdAlgorithm

Linking:

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