Package: welchADF
Title: Welch-James Statistic for Robust Hypothesis Testing under
        Heterocedasticity and Non-Normality
Description: 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
Date: 2019-09-08
Author: Pablo J. Villacorta <pjvi@decsai.ugr.es>
Maintainer: Pablo J. Villacorta <pjvi@decsai.ugr.es>
License: LGPL (>= 3)
URL: <http://decsai.ugr.es/~pjvi/r-packages.html>
Imports: lme4
LazyData: true
RoxygenNote: 6.0.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2019-09-07 22:44:52 UTC; AsusPC
Repository: CRAN
Date/Publication: 2019-09-08 07:50:02 UTC
Built: R 4.1.0; ; 2021-05-27 06:18:11 UTC; unix
