bnclassify: Learning Discrete Bayesian Network Classifiers from Data (original) (raw)
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 gmail.com> |
| BugReports: | https://github.com/bmihaljevic/bnclassify/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/bmihaljevic/bnclassify |
| NeedsCompilation: | yes |
| Citation: | bnclassify citation info |
| Materials: | README NEWS |
| CRAN checks: | bnclassify results |
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