Crandore Hub

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) <doi:10.3389/fdata.2025.1706417> "Posterior averaging with Gaussian naive Bayes and the R package RandomGaussianNB for big-data classification".

Versions across snapshots

VersionRepositoryFileSize
0.2.4 rolling linux/jammy R-4.5 RandomGaussianNB_0.2.4.tar.gz 38.4 KiB
0.2.4 rolling linux/noble R-4.5 RandomGaussianNB_0.2.4.tar.gz 38.2 KiB
0.2.4 rolling source/ R- RandomGaussianNB_0.2.4.tar.gz 9.0 KiB
0.2.4 latest linux/jammy R-4.5 RandomGaussianNB_0.2.4.tar.gz 38.4 KiB
0.2.4 latest linux/noble R-4.5 RandomGaussianNB_0.2.4.tar.gz 38.2 KiB
0.2.4 latest source/ R- RandomGaussianNB_0.2.4.tar.gz 9.0 KiB
0.2.4 2026-04-26 source/ R- RandomGaussianNB_0.2.4.tar.gz 9.0 KiB
0.2.4 2026-04-23 source/ R- RandomGaussianNB_0.2.4.tar.gz 9.0 KiB
0.2.4 2026-04-09 windows/windows R-4.5 RandomGaussianNB_0.2.4.zip 41.7 KiB

Dependencies (latest)

Imports

Suggests