In this implementation of the Naive Bayes classifier following class conditional distributions are available: 'Bernoulli', 'Categorical', 'Gaussian', 'Poisson', 'Multinomial' and non-parametric representation of the class conditional density estimated via Kernel Density Estimation. Implemented classifiers handle missing data and can take advantage of sparse data.
Documentation: Downloads: Reverse dependencies: Reverse imports: AnimalSequences, MLFS, ModTools, nproc, PrInCE, promor Reverse suggests: caretSDM, discrim, FRESA.CAD, quanteda.textmodels, StatMatch, superml Linking:Please use the canonical form https://CRAN.R-project.org/package=naivebayes to link to this page.
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