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Provides an accessible and efficient implementation of a randomized feature and bootstrap-enhanced Gaussian naive Bayes classifier. The method combines stratified bootstrap resampling with random feature subsampling and aggregates predictions via posterior averaging. Support is provided for mixed-type predictors and parallel computation. Methods are described in Srisuradetchai (2025) <doi:10.3389/fdata.2025.1706417> "Posterior averaging with Gaussian naive Bayes and the R package RandomGaussianNB for big-data classification".
| Version: | 0.2.4 |
| Imports: | parallel, stats |
| Suggests: | mlbench, testthat (≥ 3.0.0) |
| Published: | 2026-01-07 |
| DOI: | 10.32614/CRAN.package.RandomGaussianNB |
| Author: | Patchanok Srisuradetchai [aut, cre] |
| Maintainer: | Patchanok Srisuradetchai <patchanok at mathstat.sci.tu.ac.th> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Citation: | RandomGaussianNB citation info |
| Materials: | README, NEWS |
| CRAN checks: | RandomGaussianNB results |
| Reference manual: | RandomGaussianNB.html , RandomGaussianNB.pdf |
| Package source: | RandomGaussianNB_0.2.4.tar.gz |
| Windows binaries: | r-devel: RandomGaussianNB_0.2.4.zip, r-release: RandomGaussianNB_0.2.4.zip, r-oldrel: RandomGaussianNB_0.2.4.zip |
| macOS binaries: | r-release (arm64): RandomGaussianNB_0.2.4.tgz, r-oldrel (arm64): RandomGaussianNB_0.2.4.tgz, r-release (x86_64): RandomGaussianNB_0.2.4.tgz, r-oldrel (x86_64): RandomGaussianNB_0.2.4.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.