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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=deal to link to this page.