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welchADF  

Welch-James Statistic for Robust Hypothesis Testing under Heterocedasticity and Non-Normality
View on CRAN: Click here


Download and install welchADF package within the R console
Install from CRAN:
install.packages("welchADF")

Install from Github:
library("remotes")
install_github("cran/welchADF")

Install by package version:
library("remotes")
install_version("welchADF", "0.3.2")



Attach the package and use:
library("welchADF")
Maintained by
Pablo J. Villacorta
[Scholar Profile | Author Map]
First Published: 2017-04-23
Latest Update: 2019-09-08
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>.
How to cite:
Pablo J. Villacorta (2017). welchADF: Welch-James Statistic for Robust Hypothesis Testing under Heterocedasticity and Non-Normality. R package version 0.3.2, https://cran.r-project.org/web/packages/welchADF. Accessed 10 May. 2025.
Previous versions and publish date:
0.1 (2017-04-23 18:50), 0.2 (2017-10-15 00:45), 0.3.1 (2019-05-11 23:50), 0.3 (2018-06-02 00:08)
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Complete documentation for welchADF
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