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RandomGaussianNB

0.2.4Package record

Randomized Feature and Bootstrap-Enhanced Gaussian Naive Bayes Classifier

0packages depend
3.7Kdownloads / year
44.1%test coverage
13/13flavors OK

Overview

About

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".

Install

Health

CRAN checks
13OK
Slowest check: 48 s · r-release-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.2.4
READMEYes · 59 wordsVignettesNoNEWSYes · 100% structured · does not mention 0.2.4Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
2
Examples that run
no examples
Exported functions with examples
0%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

3.7K
CRAN downloads in the past year
Rank #17,546 · ~10/day · ~304/mo
Daily download trend is not available in this view yet.
23730 days
73590 days
3.7K1 year
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Also on54 r2u2 autocran

Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)

Installing RandomGaussianNB adds no packages beyond those that come with R.

Depends (0)
none
Imports (2)
parallelstats
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 0.2.4 (2026)
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • 0.2.4Latest
    2026-01-07 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-01-07
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Download size
9.0 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("RandomGaussianNB")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.3389/fdata.2025.1706417.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for RandomGaussianNB version 0.2.4 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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