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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.
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Package details |
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| Author | Michal Majka [aut, cre] (<https://orcid.org/0000-0002-7524-8014>) |
| Maintainer | Michal Majka <michalmajka@hotmail.com> |
| License | GPL-2 |
| Version | 1.0.0 |
| URL | https://github.com/majkamichal/naivebayes https://majkamichal.github.io/naivebayes/ |
| Package repository | View on CRAN |
| Installation |
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