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://homepage.usask.ca/~lml321/Program.pdf> and published in Keselman, H.J., Wilcox, R.R., and Lix, L.M. (2003) <doi:10.1111/1469-8986.00060>.

Version: 0.2
Imports: lme4
Suggests: testthat
Published: 2017-10-14
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


Reference manual: welchADF.pdf
Package source: welchADF_0.2.tar.gz
Windows binaries: r-devel: welchADF_0.2.zip, r-release: welchADF_0.2.zip, r-oldrel: welchADF_0.2.zip
OS X El Capitan binaries: r-release: welchADF_0.2.tgz
OS X Mavericks binaries: r-oldrel: welchADF_0.2.tgz
Old sources: welchADF archive


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