RandomGaussianNB: Randomized Feature and Bootstrap-Enhanced Gaussian Naive Bayes Classifier

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) "Posterior averaging with Gaussian naive Bayes and the R package RandomGaussianNB for big-data classification".