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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.

Versions across snapshots

VersionRepositoryFileSize
0.2.0 rolling linux/jammy R-4.5 bootLRTpairwise_0.2.0.tar.gz 23.1 KiB
0.2.0 rolling linux/noble R-4.5 bootLRTpairwise_0.2.0.tar.gz 23.1 KiB
0.2.0 rolling source/ R- bootLRTpairwise_0.2.0.tar.gz 4.3 KiB
0.2.0 latest linux/jammy R-4.5 bootLRTpairwise_0.2.0.tar.gz 23.1 KiB
0.2.0 latest linux/noble R-4.5 bootLRTpairwise_0.2.0.tar.gz 23.1 KiB
0.2.0 latest source/ R- bootLRTpairwise_0.2.0.tar.gz 4.3 KiB
0.2.0 2026-04-26 source/ R- bootLRTpairwise_0.2.0.tar.gz 4.3 KiB
0.2.0 2026-04-23 source/ R- bootLRTpairwise_0.2.0.tar.gz 4.3 KiB
0.2.0 2026-04-09 windows/windows R-4.5 bootLRTpairwise_0.2.0.zip 26.3 KiB