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: 0.4.0
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: graph (≥ 1.42.0), gRain (≥ 1.2-3), gRbase (≥ 1.7-0.1), mlr (≥ 2.2), testthat (≥ 0.8.1), knitr (≥ 1.10.5), ParamHelpers (≥ 1.5), Rgraphviz (≥ 2.8.1), rmarkdown (≥ 0.7), covr
Published: 2018-05-08
Author: Mihaljevic Bojan [aut, cre], Bielza Concha [aut], Larranaga Pedro [aut], Wickham Hadley [ctb] (some code extracted from memoise package)
Maintainer: Mihaljevic Bojan <bmihaljevic at fi.upm.es>
BugReports: http://github.com/bmihaljevic/bnclassify/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://github.com/bmihaljevic/bnclassify
NeedsCompilation: yes
SystemRequirements: C++11
Materials: README NEWS
CRAN checks: bnclassify results

Downloads:

Reference manual: bnclassify.pdf
Vignettes: methods
overview
usage
Package source: bnclassify_0.4.0.tar.gz
Windows binaries: r-devel: bnclassify_0.4.0.zip, r-release: bnclassify_0.4.0.zip, r-oldrel: bnclassify_0.4.0.zip
OS X binaries: r-release: bnclassify_0.4.0.tgz, r-oldrel: bnclassify_0.4.0.tgz
Old sources: bnclassify archive

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