bbl (0.2.0)

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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. Woo et al. (2016) .

Maintainer: Jun Woo
Author(s): Jun Woo [aut, cre] (<>), Jinhua Wang [ctb]

License: GPL (>= 2)

Uses: pROC, RColorBrewer, Rcpp, glmnet, BiocManager

Released about 1 month ago.

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