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 |
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 |
Reference manual: | welchADF.pdf |
Vignettes: |
{The welchADF Package for Robust Hypothesis Testing in Unbalanced Multivariate Mixed Models with Heteroscedastic and Non-normal Data} |
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: welchADF_0.3.2.tgz, r-oldrel: welchADF_0.3.2.tgz |
Old sources: | welchADF archive |
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