naivebayes: High Performance Implementation of the Naive Bayes Algorithm

In this implementation of the Naive Bayes classifier following class conditional distributions are available: Bernoulli, Categorical, Gaussian, Poisson and non-parametric representation of the class conditional density estimated via Kernel Density Estimation.

Version: 0.9.6
Suggests: knitr
Published: 2019-06-03
Author: Michal Majka
Maintainer: Michal Majka <michalmajka at>
License: GPL-2
NeedsCompilation: no
Citation: naivebayes citation info
Materials: NEWS
In views: MachineLearning
CRAN checks: naivebayes results


Reference manual: naivebayes.pdf
Vignettes: An Introduction to Naivebayes
Package source: naivebayes_0.9.6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: naivebayes_0.9.6.tgz, r-oldrel: naivebayes_0.9.6.tgz
Old sources: naivebayes archive

Reverse dependencies:

Reverse imports: nproc
Reverse suggests: FRESA.CAD, superml


Please use the canonical form to link to this page.