pseudorank-package: Pseudo-Ranks

In pseudorank: Pseudo-Ranks

Description

This packge provides functions to calculate pseudo-ranks. Rank based test statistics (e.g. Kruskal-Wallis test) may lead to paradoxical results as the weighted relative effects (based on ranks) depend on the sample sizes (Brunner, 2018). Pseudo-ranks do not have these problems.

Author(s)

Maintainer: Martin Happ <[e-mail]>

References

Brunner, E., Konietschke, F., Bathke, A. C., & Pauly, M. (2018). Ranks and Pseudo-Ranks-Paradoxical Results of Rank Tests. arXiv preprint arXiv:1802.05650.

Brunner, E., Bathke, A.C., and Konietschke, F. (2018a). Rank- and Pseudo-Rank Procedures for Independent Observations in Factorial Designs - Using R and SAS. Springer Series in Statistics, Springer, Heidelberg. ISBN: 978-3-030-02912-8.

Happ M, Zimmermann G, Brunner E, Bathke AC (2020). Pseudo-Ranks: How to Calculate Them Efficiently in R. Journal of Statistical Software, Code Snippets, *95*(1), 1-22. doi: 10.18637/jss.v095.c01 (URL:https://doi.org/10.18637/jss.v095.c01).

pseudorank documentation built on Oct. 23, 2020, 7:15 p.m.