npsm: Nonparametric Statistical Methods
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 <johndkloke at gmail.com> |
| 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 |
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