bbl: Boltzmann Bayes Learner
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 |
| Author: | Jun Woo  [aut,
cre] |
| Maintainer: | Jun Woo <junwoo035 at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Citation: | bbl citation info |
| Materials: | README |
| CRAN checks: | bbl results |
Documentation:
| Reference manual: | bbl.pdf |
| Vignettes: |
bbl: Boltzmann Bayes Learner for High-Dimensional Inference with Discrete Predictors in R |
Downloads:
| Package source: | bbl_1.0.0.tar.gz |
| Windows binaries: | r-devel: bbl_1.0.0.zip, r-release: bbl_1.0.0.zip, r-oldrel: bbl_1.0.0.zip |
| macOS binaries: | r-release (arm64): bbl_1.0.0.tgz, r-oldrel (arm64): bbl_1.0.0.tgz, r-release (x86_64): bbl_1.0.0.tgz, r-oldrel (x86_64): bbl_1.0.0.tgz |
| Old sources: | bbl archive |
Linking:
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