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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>.
Package details |
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Author | Jun Woo [aut, cre] (<https://orcid.org/0000-0003-3220-2064>) |
Maintainer | Jun Woo <junwoo035@gmail.com> |
License | GPL (>= 2) |
Version | 1.0.0 |
Package repository | View on CRAN |
Installation |
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