npsm: Nonparametric Statistical Methods (original) (raw)
Accompanies the book "Nonparametric Statistical Methods Using R, 2nd Edition" by Kloke and McKean (2024, ISBN:9780367651350). Includes methods, datasets, and random number generation useful for the study of robust and/or nonparametric statistics. Emphasizes classical nonparametric methods for a variety of designs — especially one-sample and two-sample problems. Includes methods for general scores, including estimation and testing for the two-sample location problem as well as Hogg's adaptive method.
Version: | 2.0.1 |
---|---|
Depends: | R (≥ 3.5.0), Rfit |
Imports: | methods, class, plyr |
Suggests: | boot, survival, sm, HSAUR2, remotes, profileR, car, dplyr, tree |
Published: | 2025-07-23 |
DOI: | 10.32614/CRAN.package.npsm |
Author: | John Kloke [aut, cre], Joseph McKean [aut] |
Maintainer: | John Kloke |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://github.com/kloke/npsm, https://github.com/kloke/book |
NeedsCompilation: | no |
Citation: | npsm citation info |
Materials: | README |
CRAN checks: | npsm results |
Documentation:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=npsmto link to this page.