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: 1.2-42
Depends: R (≥ 2.0.0)
Published: 2022-11-09
DOI: 10.32614/
Author: Susanne Gammelgaard Bottcher, Claus Dethlefsen.
Maintainer: Claus Dethlefsen < at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: README ChangeLog
In views: GraphicalModels
CRAN checks: deal results


Reference manual: deal.pdf


Package source: deal_1.2-42.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): deal_1.2-42.tgz, r-oldrel (arm64): deal_1.2-42.tgz, r-release (x86_64): deal_1.2-42.tgz, r-oldrel (x86_64): deal_1.2-42.tgz
Old sources: deal archive


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