Package: RandomGaussianNB
Type: Package
Title: Randomized Feature and Bootstrap-Enhanced Gaussian Naive Bayes
        Classifier
Version: 0.2.4
Date: 2025-12-21
Authors@R: 
    person(
        given  = "Patchanok",
        family = "Srisuradetchai",
        email  = "patchanok@mathstat.sci.tu.ac.th",
        role   = c("aut", "cre")
    )
Description: 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".
License: MIT + file LICENSE
Encoding: UTF-8
Imports: parallel, stats
RoxygenNote: 7.3.3
Suggests: mlbench, testthat (>= 3.0.0)
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2025-12-21 16:57:28 UTC; spatc
Author: Patchanok Srisuradetchai [aut, cre]
Maintainer: Patchanok Srisuradetchai <patchanok@mathstat.sci.tu.ac.th>
Repository: CRAN
Date/Publication: 2026-01-07 08:00:14 UTC
Built: R 4.6.0; ; 2026-04-27 01:04:18 UTC; unix
