Package: naivebayes 1.0.0
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.
Authors:
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naivebayes.pdf |naivebayes.html✨
naivebayes/json (API)
NEWS
| # Install 'naivebayes' in R: |
| install.packages('naivebayes', repos = c('https://majkamichal.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/majkamichal/naivebayes/issues
Pkgdown site:https://majkamichal.github.io
classification-modeldatasciencemachine-learningnaive-bayes
Last updated 2 months agofrom:fefc0896db. Checks:1 ERROR, 8 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | FAIL | Mar 09 2025 |
| R-4.5-win | NOTE | Mar 09 2025 |
| R-4.5-mac | NOTE | Mar 09 2025 |
| R-4.5-linux | NOTE | Mar 09 2025 |
| R-4.4-win | NOTE | Mar 09 2025 |
| R-4.4-mac | NOTE | Mar 09 2025 |
| R-4.4-linux | NOTE | Mar 09 2025 |
| R-4.3-win | NOTE | Mar 09 2025 |
| R-4.3-mac | NOTE | Mar 09 2025 |
Exports:%class%%prob%bernoulli_naive_bayesgaussian_naive_bayesget_cond_distmultinomial_naive_bayesnaive_bayesnonparametric_naive_bayespoisson_naive_bayestables
Dependencies:
An Introduction to Naivebayes
Rendered fromintro_naivebayes.Rnwusingknitr::knitron Mar 09 2025.Last update: 2024-03-16
Started: 2019-05-05
