<?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>sagaranalytics.r-universe.dev</title><link>https://sagaranalytics.r-universe.dev</link><description>Recent package updates in sagaranalytics</description><generator>R-universe</generator><image><url>https://github.com/sagaranalytics.png</url><title>R packages by sagaranalytics</title><link>https://sagaranalytics.r-universe.dev</link></image><lastBuildDate>Thu, 10 Jul 2025 14:40:02 GMT</lastBuildDate><item><title>[sagaranalytics] bootLRTpairwise 0.2.0</title><author>sagarsalvi2713@gmail.com (Sagar Salvi)</author><description>Implements three test procedures using bootstrap
resampling techniques for assessing treatment effects in
one-way ANOVA models with unequal variances
(heteroscedasticity). It includes a parametric bootstrap
likelihood ratio test (PB_LRT()), a pairwise parametric
bootstrap mean test (PPBMT()), and a Rademacher wild pairwise
non-parametric bootstrap test (RWPNPBT()). These methods
provide robust alternatives to classical ANOVA and standard
pairwise comparisons when the assumption of homogeneity of
variances is violated.</description><link>https://github.com/r-universe/sagaranalytics/actions/runs/26022019226</link><pubDate>Thu, 10 Jul 2025 14:40:02 GMT</pubDate><r:package>bootLRTpairwise</r:package><r:version>0.2.0</r:version><r:status>success</r:status><r:repository>https://sagaranalytics.r-universe.dev</r:repository><r:upstream>https://github.com/cran/bootLRTpairwise</r:upstream></item></channel></rss>