The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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.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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=RobustBF to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.