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naivebayes  

High Performance Implementation of the Naive Bayes Algorithm
View on CRAN: Click here


Download and install naivebayes package within the R console
Install from CRAN:
install.packages("naivebayes")

Install from Github:
library("remotes")
install_github("cran/naivebayes")

Install by package version:
library("remotes")
install_version("naivebayes", "1.0.0")



Attach the package and use:
library("naivebayes")
Maintained by
Michal Majka
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-01-05
Latest Update: 2020-03-08
Description:
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.
How to cite:
Michal Majka (2017). naivebayes: High Performance Implementation of the Naive Bayes Algorithm. R package version 1.0.0, https://cran.r-project.org/web/packages/naivebayes
Previous versions and publish date:
0.9.0 (2017-01-05 19:24), 0.9.1 (2017-01-15 09:51), 0.9.2 (2018-01-03 05:41), 0.9.3 (2019-01-07 22:51), 0.9.4 (2019-03-10 15:00), 0.9.5 (2019-03-17 21:00), 0.9.6 (2019-06-03 23:40), 0.9.7 (2020-03-08 19:20)
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