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
In views:	GraphicalModels
CRAN checks:	deal results

Documentation:

Reference manual:

deal.pdf

Downloads:

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
macOS binaries:	r-release (arm64): deal_1.2-39.tgz, r-oldrel (arm64): deal_1.2-39.tgz, r-release (x86_64): deal_1.2-39.tgz, r-oldrel (x86_64): deal_1.2-39.tgz
Old sources:	deal archive

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