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naivebayes (version 0.9.7)

High Performance Implementation of the Naive Bayes Algorithm

Description

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. Implemented classifiers handle missing data and can take advantage of sparse data.

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Install

install.packages('naivebayes')

Monthly Downloads

4,462

Version

0.9.7

License

GPL-2

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Last Published

March 8th, 2020

Functions in naivebayes (0.9.7)

poisson_naive_bayes

Poisson Naive Bayes Classifier
predict.nonparametric_naive_bayes

Predict Method for nonparametric_naive_bayes Objects
predict.naive_bayes

Predict Method for naive_bayes Objects
predict.bernoulli_naive_bayes

Predict Method for bernoulli_naive_bayes Objects
plot.naive_bayes

Plot Method for naive_bayes Objects
plot.gaussian_naive_bayes

Plot Method for gaussian_naive_bayes Objects
tables

Browse Tables of Naive Bayes Classifier
predict.poisson_naive_bayes

Predict Method for poisson_naive_bayes Objects
plot.nonparametric_naive_bayes

Plot Method for nonparametric_naive_bayes Objects
plot.poisson_naive_bayes

Plot Method for poisson_naive_bayes Objects
predict.gaussian_naive_bayes

Predict Method for gaussian_naive_bayes Objects
naivebayes

naivebayes
predict.multinomial_naive_bayes

Predict Method for multinomial_naive_bayes Objects
Infix operators

Predict Method for Family of Naive Bayes Objects
multinomial_naive_bayes

Multinomial Naive Bayes Classifier
bernoulli_naive_bayes

Bernoulli Naive Bayes Classifier
coef

Extract Model Coefficients
get_cond_dist

Obtain names of class conditional distribution assigned to features
gaussian_naive_bayes

Gaussian Naive Bayes Classifier
nonparametric_naive_bayes

Non-Parametric Naive Bayes Classifier
plot.bernoulli_naive_bayes

Plot Method for bernoulli_naive_bayes Objects
naive_bayes

Naive Bayes Classifier