RobustBF: Robust Solution to the Behrens-Fisher Problem

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>.

Version:	0.2.0
Imports:	stats
Published:	2021-11-15
DOI:	10.32614/CRAN.package.RobustBF
Author:	Gamze Guven [aut, cre], Sukru Acitas [aut], Hatice Samkar [aut], Birdal Senoglu [aut]
Maintainer:	Gamze Guven <gamzeguven at ogu.edu.tr>
License:	GPL (≥ 3)
NeedsCompilation:	no
CRAN checks:	RobustBF results

Documentation:

Reference manual:

RobustBF.html , RobustBF.pdf

Downloads:

Package source:	RobustBF_0.2.0.tar.gz
Windows binaries:	r-devel: RobustBF_0.2.0.zip, r-release: RobustBF_0.2.0.zip, r-oldrel: RobustBF_0.2.0.zip
macOS binaries:	r-release (arm64): RobustBF_0.2.0.tgz, r-oldrel (arm64): RobustBF_0.2.0.tgz, r-release (x86_64): RobustBF_0.2.0.tgz, r-oldrel (x86_64): RobustBF_0.2.0.tgz
Old sources:	RobustBF archive

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