About Anaconda Help Download Anaconda

r / packages / r-welchadf

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>.

Type Size Name Uploaded Downloads Labels
conda 376.4 kB | noarch/r-welchadf-0.3.2-r43h142f84f_0.tar.bz2  1 year and 1 month ago 21 main
conda 375.9 kB | noarch/r-welchadf-0.3.2-r42h142f84f_0.tar.bz2  2 years and 7 months ago 58 main
conda 375.7 kB | noarch/r-welchadf-0.3.2-r36h6115d3f_0.tar.bz2  4 years and 11 months ago 125 main

© 2025 Anaconda, Inc. All Rights Reserved. (v4.0.7) Legal | Privacy Policy