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: |
2.0.0 |
| Depends: |
R (≥ 3.5.0), Rfit |
| Imports: |
methods, class, plyr |
| Suggests: |
boot, survival, sm, HSAUR2, remotes, profileR, car, dplyr, tree |
| Published: |
2024-05-26 |
| 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 |
Documentation:
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