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:	0.3.2
Imports:	lme4
Suggests:	testthat
Published:	2019-09-08
DOI:	10.32614/CRAN.package.welchADF
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
Citation:	welchADF citation info
CRAN checks:	welchADF results

Documentation:

Reference manual:	welchADF.pdf
Vignettes:	{The welchADF Package for Robust Hypothesis Testing in Unbalanced Multivariate Mixed Models with Heteroscedastic and Non-normal Data}

Downloads:

Package source:	welchADF_0.3.2.tar.gz
Windows binaries:	r-devel: welchADF_0.3.2.zip, r-release: welchADF_0.3.2.zip, r-oldrel: welchADF_0.3.2.zip
macOS binaries:	r-release (arm64): welchADF_0.3.2.tgz, r-oldrel (arm64): welchADF_0.3.2.tgz, r-release (x86_64): welchADF_0.3.2.tgz, r-oldrel (x86_64): welchADF_0.3.2.tgz
Old sources:	welchADF archive

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