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 |
| Reference manual: | bootLRTpairwise.html , bootLRTpairwise.pdf |
| Package source: | bootLRTpairwise_0.2.0.tar.gz |
| Windows binaries: | r-devel: bootLRTpairwise_0.2.0.zip, r-release: bootLRTpairwise_0.2.0.zip, r-oldrel: bootLRTpairwise_0.2.0.zip |
| 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 |
Please use the canonical form https://CRAN.R-project.org/package=bootLRTpairwise to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.