naivebayes
1.0.0High Performance Implementation of the Naive Bayes Algorithm
Overview
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.
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- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Code & tests
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Tests / Examples
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Functions
51 10 exported
Complexity
7.8 avg / 49 max
Call network
51 nodes / 27 edges
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People & History
9 releases. Pick two to compare their code metrics; R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.0.0Latest2024-03-16 · current release
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 0.9.72020-03-08 · diff ↗
- 0.9.62019-06-03 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 0.9.52019-03-17 · diff ↗
- 0.9.42019-03-10 · diff ↗
- 0.9.32019-01-07 · diff ↗
- RR 3.5.0 released · 2018-04-23
- 0.9.22018-01-03 · diff ↗
Show 3 earlier events
- RR 3.4.0 released · 2017-04-21
- 0.9.12017-01-15 · diff ↗
- 0.9.02017-01-05
Package metadata
- First published
- 2017-01-05
- Total releases
- 9 / 9 yrs
- License
- GPL-2 OSI
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet