Package: welchADF 0.3.2

Pablo J. Villacorta

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>.

Authors:Pablo J. Villacorta <pjvi@decsai.ugr.es>

welchADF_0.3.2.tar.gz
welchADF_0.3.2.tar.gz(r-4.5-noble)welchADF_0.3.2.tar.gz(r-4.4-noble)
welchADF_0.3.2.tgz(r-4.4-emscripten)welchADF_0.3.2.tgz(r-4.3-emscripten)
welchADF.pdf |welchADF.html✨
welchADF/json (API)

# Install 'welchADF' in R:
install.packages('welchADF', repos = 'https://cloud.r-project.org')
Datasets:
  • adhdData - Children's reaction times (milliseconds) to stimuli of different nature, arranged with four response columns.
  • adhdData2 - Children's reaction times (milliseconds) to stimuli of different nature, arranged with one single response column and taking the multi-variate response as an explicit within-subjects factor.
  • miceData - Number of visits and time spent in different tunnels of laboratory mice
  • perceptionData - Number of puzzles 42 students were able to solve
  • womenStereotypeData - Students' scores (men and women) on an arithmetic test

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 170 downloads 1 exports 13 dependencies

Last updated 6 years agofrom:35c90baa48. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKApr 01 2025
R-4.5-linuxOKApr 01 2025
R-4.4-linuxOKApr 01 2025

Exports:welchADF.test

Dependencies:bootlatticelme4MASSMatrixminqanlmenloptrrbibutilsRcppRcppEigenRdpackreformulas

{The welchADF Package for Robust Hypothesis Testing in Unbalanced Multivariate Mixed Models with Heteroscedastic and Non-normal Data}

Rendered fromVillacorta-RJ-2017-049.Rnwusingutils::Sweaveon Apr 01 2025.

Last update: 2019-09-08
Started: 2019-09-08

Citation

To cite package welchADF in publications use:

Pablo J. Villacorta (2017). The welchADF Package for Robust Hypothesis Testing in Unbalanced Multivariate Mixed Models with Heteroscedastic and Non-normal Data. The R Journal 9:2, 309 - 328.

Corresponding BibTeX entry: 

  @Article{,
    title = {The welchADF Package for Robust Hypothesis Testing in
      Unbalanced Multivariate Mixed Models with Heteroscedastic and
      Non-normal Data},
    author = {{Pablo J. Villacorta}},
    year = {2017},
    url =
      {https://journal.r-project.org/archive/2017/RJ-2017-049/index.html},
    journal = {The R Journal},
    volume = {9},
    number = {2},
    doi = {10.32614/RJ-2017-049},
    pages = {309 - 328},
  }