bbl: Boltzmann Bayes Learner (original) (raw)
Supervised learning using Boltzmann Bayes model inference, which extends naive Bayes model to include interactions. Enables classification of data into multiple response groups based on a large number of discrete predictors that can take factor values of heterogeneous levels. Either pseudo-likelihood or mean field inference can be used with L2 regularization, cross-validation, and prediction on new data. <doi:10.18637/jss.v101.i05>.
| Version: | 1.0.0 |
|---|---|
| Depends: | R (≥ 3.6.0) |
| Imports: | methods, stats, utils, Rcpp (≥ 0.12.16), pROC, RColorBrewer |
| LinkingTo: | Rcpp |
| Suggests: | glmnet, BiocManager, Biostrings |
| Published: | 2022-01-27 |
| DOI: | 10.32614/CRAN.package.bbl |
| Author: | Jun Woo  [aut, cre] |
| Maintainer: | Jun Woo |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Citation: | bbl citation info |
| Materials: | README |
| CRAN checks: | bbl results |
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