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.


Reference manual

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install.packages("bootLRTpairwise")

0.2.0 by Sagar Salvi, a year ago


Browse source code at https://github.com/cran/bootLRTpairwise


Authors: Sagar Salvi [aut, cre] , Diya Somichan [aut] , Anjana Mondal [aut]


Documentation:   PDF Manual  


MIT + file LICENSE license



See at CRAN