naivebayes (0.9.6)

0 users

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.

Maintainer: Michal Majka
Author(s): Michal Majka

License: GPL-2

Uses: knitr
Reverse suggests: FRESA.CAD

Released 6 months ago.

6 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of naivebayes yet. Want to be the first? Write one now.

Related packages: BayesTree, ElemStatLearn, GAMBoost, ROCR, RXshrink, arules, caret, e1071, earth, effects, elasticnet, gbm, glmpath, grplasso, ipred, kernlab, klaR, lars, lasso2, maptree(20 best matches, based on common tags.)

Search for naivebayes on google, google scholar, r-help, r-devel.

Visit naivebayes on R Graphical Manual.