RobustBF
0.2.0Robust Solution to the Behrens-Fisher Problem
Overview
Robust tests (RW and RF) are provided for testing the equality of two long-tailed symmetric (LTS) means when the variances are unknown and arbitrary. RW test is a robust version of Welch's two sample t test and the RF is a robust fiducial based test. The RW and RF tests are proposed using the adaptive modified maximum likelihood (AMML) estimators derived by Tiku and Surucu (2009) doi:10.1016/j.spl.2008.12.001 and Donmez (2010) https://open.metu.edu.tr/bitstream/handle/11511/19440/index.pdf.
Install
Health
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
- Cyclomatic complexity
- 1.0 median / 3 max
- Documented parameters
- 100%
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
3 2 exported
Complexity
1.7 avg / 3 max
Call network
3 nodes / 2 edges
Test coverage has not been measured for this package yet; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
People & History
2 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
- RR 4.2.0 released · 2022-04-22
- 0.2.0Latest
- 0.1.02021-07-01
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2021-07-01
- Total releases
- 2 / 5 yrs
- License
- GPL (>= 3) OSI
- Download size
- 4.2 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet