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', '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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling linux/jammy R-4.5 | naivebayes_1.0.0.tar.gz |
929.7 KiB |
1.0.0 |
rolling linux/noble R-4.5 | naivebayes_1.0.0.tar.gz |
929.6 KiB |
1.0.0 |
rolling source/ R- | naivebayes_1.0.0.tar.gz |
751.9 KiB |
1.0.0 |
latest linux/jammy R-4.5 | naivebayes_1.0.0.tar.gz |
929.7 KiB |
1.0.0 |
latest linux/noble R-4.5 | naivebayes_1.0.0.tar.gz |
929.6 KiB |
1.0.0 |
latest source/ R- | naivebayes_1.0.0.tar.gz |
751.9 KiB |
1.0.0 |
2026-04-26 source/ R- | naivebayes_1.0.0.tar.gz |
751.9 KiB |
1.0.0 |
2026-04-23 source/ R- | naivebayes_1.0.0.tar.gz |
751.9 KiB |
1.0.0 |
2026-04-09 windows/windows R-4.5 | naivebayes_1.0.0.zip |
938.0 KiB |
1.0.0 |
2025-04-20 source/ R- | naivebayes_1.0.0.tar.gz |
751.9 KiB |