# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "RandomGaussianNB" in publications use:'
type: software
license: MIT
title: 'RandomGaussianNB: Randomized Feature and Bootstrap-Enhanced Gaussian Naive
  Bayes Classifier'
version: 0.2.4
doi: 10.3389/fdata.2025.1706417
identifiers:
- type: doi
  value: 10.32614/CRAN.package.RandomGaussianNB
abstract: 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) <https://doi.org/10.3389/fdata.2025.1706417>
  "Posterior averaging with Gaussian naive Bayes and the R package RandomGaussianNB
  for big-data classification".
authors:
- family-names: Srisuradetchai
  given-names: Patchanok
  email: patchanok@mathstat.sci.tu.ac.th
preferred-citation:
  type: article
  title: Posterior Averaging with Gaussian Naive Bayes and the R Package RandomGaussianNB
    for Big-Data Classification
  authors:
  - family-names: Srisuradetchai
    given-names: Patchanok
    email: patchanok@mathstat.sci.tu.ac.th
  journal: Frontiers in Big Data
  year: '2025'
  volume: '8'
  doi: 10.3389/fdata.2025.1706417
  url: https://www.frontiersin.org/journals/big-data/articles/10.3389/fdata.2025.1706417
repository: https://patchanok-tu.r-universe.dev
commit: 0231a86ecdd3e48513bc2d7162a07aa6fab40026
date-released: '2025-12-21'
contact:
- family-names: Srisuradetchai
  given-names: Patchanok
  email: patchanok@mathstat.sci.tu.ac.th