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 hotmail.com>
BugReports: https://github.com/majkamichal/naivebayes/issues
License: GPL-2
URL: https://github.com/majkamichal/naivebayes, https://majkamichal.github.io/naivebayes/
NeedsCompilation: no
Citation: naivebayes citation info
Materials: NEWS
In views: MachineLearning
CRAN checks: naivebayes results

Downloads:

Reference manual: naivebayes.pdf
Vignettes: An Introduction to Naivebayes
Package source: naivebayes_0.9.6.tar.gz
Windows binaries: r-devel: naivebayes_0.9.6.zip, r-devel-gcc8: naivebayes_0.9.6.zip, r-release: naivebayes_0.9.6.zip, r-oldrel: naivebayes_0.9.6.zip
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

Linking:

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