bnclassify: Learning Discrete Bayesian Network Classifiers from Data

State-of-the art algorithms for learning discrete Bayesian network classifiers from data, including a number of those described in Bielza & Larranaga (2014) <doi:10.1145/2576868>, with functions for prediction, model evaluation and inspection.

Version: 0.4.8
Depends: R (≥ 3.2.0)
Imports: assertthat (≥ 0.1), entropy (≥ 1.2.0), matrixStats (≥ 0.14.0), rpart (≥ 4.1-8), Rcpp
LinkingTo: Rcpp, BH
Suggests: igraph, gRain (≥ 1.2-3), gRbase (≥ 1.7-0.1), mlr (≥ 2.2), testthat (≥ 0.8.1), knitr (≥ 1.10.5), ParamHelpers (≥ 1.5), rmarkdown (≥ 0.7), mlbench, covr
Published: 2024-03-13
DOI: 10.32614/CRAN.package.bnclassify
Author: Mihaljevic Bojan [aut, cre, cph], Bielza Concha [aut], Larranaga Pedro [aut], Wickham Hadley [ctb] (some code extracted from memoise package)
Maintainer: Mihaljevic Bojan <boki.mihaljevic at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: bnclassify citation info
Materials: README NEWS
In views: GraphicalModels
CRAN checks: bnclassify results


Reference manual: bnclassify.pdf
Vignettes: methods


Package source: bnclassify_0.4.8.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): bnclassify_0.4.8.tgz, r-oldrel (arm64): bnclassify_0.4.8.tgz, r-release (x86_64): bnclassify_0.4.8.tgz, r-oldrel (x86_64): bnclassify_0.4.8.tgz
Old sources: bnclassify archive


Please use the canonical form to link to this page.