Bootstrap Hypothesis Tests for Treatment Effects in One-Way ANOVA with Unequal Variances R package bootLRTpairwise version 0.2.0 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. Software Sagar Salvi <sagarsalvi2713@gmail.com> Comprehensive R Archive Network (CRAN) Sagar Salvi [aut, cre], Diya Somichan [aut], Anjana Mondal [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=bootLRTpairwise/LICENSE) 2025-07-10 application/tgz https://CRAN.R-project.org/package=bootLRTpairwise doi:10.32614/CRAN.package.bootLRTpairwise