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

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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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