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:

Reference manual: npsm.pdf

Downloads:

Package source: npsm_2.0.0.tar.gz
Windows binaries: r-devel: npsm_1.1.1.zip, r-release: npsm_1.1.1.zip, r-oldrel: npsm_2.0.0.zip
macOS binaries: r-release (arm64): npsm_2.0.0.tgz, r-oldrel (arm64): npsm_2.0.0.tgz, r-release (x86_64): npsm_1.1.1.tgz, r-oldrel (x86_64): npsm_1.1.1.tgz
Old sources: npsm archive

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