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 resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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