RobustANOVA
0.3.0Robust One-Way ANOVA Tests under Heteroscedasticity and Nonnormality
Overview
Robust tests (RW, RPB and RGF) are provided for testing the equality of several long-tailed symmetric (LTS) means when the variances are unknown and arbitrary. RW, RPB and RGF tests are robust versions of Welch's F test proposed by Welch (1951) doi:10.2307/2332579, parametric bootstrap test proposed by Krishnamoorthy et. al (2007) doi:10.1016/j.csda.2006.09.039; and generalized F test proposed by Weerahandi (1995) doi:10.2307/2532947;, respectively. These tests are based on the modified maximum likelihood (MML) estimators proposed by Tiku(1967, 1968) doi:10.2307/2333859, doi:10.1080/01621459.1968.11009228.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 100%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.3.0Latest
- 0.2.02022-11-09 · diff ↗
- 0.1.02022-10-12
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2022-10-12
- Total releases
- 3 / 4 yrs
- License
- GPL (>= 3) OSI
- Download size
- 5.2 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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