<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>patchanok-tu.r-universe.dev</title><link>https://patchanok-tu.r-universe.dev</link><description>Recent package updates in patchanok-tu</description><generator>R-universe</generator><image><url>https://github.com/patchanok-tu.png</url><title>R packages by patchanok-tu</title><link>https://patchanok-tu.r-universe.dev</link></image><lastBuildDate>Wed, 07 Jan 2026 08:49:14 GMT</lastBuildDate><item><title>[patchanok-tu] RandomGaussianNB 0.2.4</title><author>patchanok@mathstat.sci.tu.ac.th (Patchanok Srisuradetchai)</author><description>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) &lt;doi:10.3389/fdata.2025.1706417&gt;
&quot;Posterior averaging with Gaussian naive Bayes and the R
package RandomGaussianNB for big-data classification&quot;.</description><link>https://github.com/r-universe/patchanok-tu/actions/runs/27088862321</link><pubDate>Wed, 07 Jan 2026 08:49:14 GMT</pubDate><r:package>RandomGaussianNB</r:package><r:version>0.2.4</r:version><r:status>success</r:status><r:repository>https://patchanok-tu.r-universe.dev</r:repository><r:upstream>https://github.com/cran/RandomGaussianNB</r:upstream></item></channel></rss>