welchADF: Welch-James Statistic for Robust Hypothesis Testing under Heterocedasticity and Non-Normality

Implementation of Johansen's general formulation of Welch-James's statistic with Approximate Degrees of Freedom, which makes it suitable for testing any linear hypothesis concerning cell means in univariate and multivariate mixed model designs when the data pose non-normality and non-homogeneous variance. Some improvements, namely trimmed means and Winsorized variances, and bootstrapping for calculating an empirical critical value, have been added to the classical formulation. The code departs from a previous SAS implementation by L.M. Lix and H.J. Keselman, available at <http://supp.apa.org/psycarticles/supplemental/met_13_2_110/SAS_Program.pdf> and published in Keselman, H.J., Wilcox, R.R., and Lix, L.M. (2003) <doi:10.1111/1469-8986.00060>.

Version: 0.3
Imports: lme4
Suggests: testthat
Published: 2018-06-01
Author: Pablo J. Villacorta
Maintainer: Pablo J. Villacorta <pjvi at decsai.ugr.es>
License: LGPL (≥ 3)
URL: <http://decsai.ugr.es/~pjvi/r-packages.html>
NeedsCompilation: no
CRAN checks: welchADF results

Downloads:

Reference manual: welchADF.pdf
Package source: welchADF_0.3.tar.gz
Windows binaries: r-devel: welchADF_0.3.zip, r-release: welchADF_0.3.zip, r-oldrel: welchADF_0.3.zip
OS X binaries: r-release: welchADF_0.3.tgz, r-oldrel: welchADF_0.3.tgz
Old sources: welchADF archive

Linking:

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