deal: Learning Bayesian Networks with Mixed Variables

Bayesian networks with continuous and/or discrete variables can be learned and compared from data. The method is described in Boettcher and Dethlefsen (2003), <doi:10.18637/jss.v008.i20>.

Version: 1.2-39
Depends: R (≥ 2.0.0)
Published: 2018-10-20
Author: Susanne Gammelgaard Bottcher, Claus Dethlefsen.
Maintainer: Claus Dethlefsen <rpackage.deal at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: ChangeLog
CRAN checks: deal results

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Reference manual: deal.pdf
Package source: deal_1.2-39.tar.gz
Windows binaries: r-devel: deal_1.2-39.zip, r-release: deal_1.2-39.zip, r-oldrel: deal_1.2-39.zip
OS X binaries: r-release: deal_1.2-39.tgz, r-oldrel: deal_1.2-39.tgz
Old sources: deal archive

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