R package 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>.
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- Jun Woo, Jinhua Wang: bbl: Boltzmann Bayes Learner for High-Dimensional Inference with Discrete Predictors in R (2022) not zbMATH