Boltzmann Bayes Learner R package bbl version 1.0.0 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>. Software Depends: R (>= 3.6.0) Imports: methods, stats, utils, Rcpp (>= 0.12.16), pROC, RColorBrewer LinkingTo: Rcpp Suggests: glmnet, BiocManager, Biostrings Jun Woo <junwoo035@gmail.com> Comprehensive R Archive Network (CRAN) Jun Woo [aut, cre] (ORCID: <https://orcid.org/0000-0003-3220-2064>) GPL (>= 2) 2022-01-27 application/tgz https://CRAN.R-project.org/package=bbl doi:10.32614/CRAN.package.bbl