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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 |
| 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: | 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: deal_1.2-42.zip, r-release: deal_1.2-42.zip, r-oldrel: deal_1.2-42.zip |
| 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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These binaries (installable software) and packages are in development.
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