Randomized Feature and Bootstrap-Enhanced Gaussian Naive Bayes Classifier R package RandomGaussianNB version 0.2.4 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". Software Imports: parallel, stats Suggests: mlbench, testthat (>= 3.0.0) Patchanok Srisuradetchai <patchanok@mathstat.sci.tu.ac.th> Comprehensive R Archive Network (CRAN) Patchanok Srisuradetchai [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=RandomGaussianNB/LICENSE) 2026-01-07 application/tgz https://CRAN.R-project.org/package=RandomGaussianNB doi:10.32614/CRAN.package.RandomGaussianNB