bootLRTpairwise: Bootstrap Hypothesis Tests for Treatment Effects in One-Way ANOVA with Unequal Variances

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.

Version:	0.2.0
Published:	2025-07-10
DOI:	10.32614/CRAN.package.bootLRTpairwise
Author:	Sagar Salvi [aut, cre], Diya Somichan [aut], Anjana Mondal [aut]
Maintainer:	Sagar Salvi <sagarsalvi2713 at gmail.com>
License:	MIT + file LICENSE
NeedsCompilation:	no
CRAN checks:	bootLRTpairwise results

Documentation:

Reference manual:

bootLRTpairwise.pdf

Downloads:

Package source:	bootLRTpairwise_0.2.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): bootLRTpairwise_0.2.0.tgz, r-oldrel (arm64): bootLRTpairwise_0.2.0.tgz, r-release (x86_64): bootLRTpairwise_0.2.0.tgz, r-oldrel (x86_64): bootLRTpairwise_0.2.0.tgz

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