LearnNonparam: 'R6'-Based Flexible Framework for Permutation Tests

Implements non-parametric tests from Higgins (2004, ISBN:0534387756), including tests for one sample, two samples, k samples, paired comparisons, blocked designs, trends and association. Built with 'Rcpp' for efficiency and 'R6' for flexible, object-oriented design, the package provides a unified framework for performing or creating custom permutation tests.

Version:	1.2.6
Depends:	R (≥ 3.5.0)
Imports:	R6 (≥ 2.5.0), Rcpp (≥ 1.0.10), stats, graphics, compiler
LinkingTo:	Rcpp (≥ 1.0.10)
Suggests:	ggplot2
Published:	2024-12-17
DOI:	10.32614/CRAN.package.LearnNonparam
Author:	Yan Du [aut, cre]
Maintainer:	Yan Du <isduyan at outlook.com>
BugReports:	https://github.com/qddyy/LearnNonparam/issues
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://github.com/qddyy/LearnNonparam, https://qddyy.github.io/LearnNonparam/
NeedsCompilation:	yes
Materials:	NEWS
CRAN checks:	LearnNonparam results

Documentation:

Reference manual:

LearnNonparam.pdf

Downloads:

Package source:	LearnNonparam_1.2.6.tar.gz
Windows binaries:	r-devel: LearnNonparam_1.2.6.zip, r-release: LearnNonparam_1.2.6.zip, r-oldrel: LearnNonparam_1.2.6.zip
macOS binaries:	r-release (arm64): LearnNonparam_1.2.6.tgz, r-oldrel (arm64): LearnNonparam_1.2.6.tgz, r-release (x86_64): LearnNonparam_1.2.6.tgz, r-oldrel (x86_64): LearnNonparam_1.2.6.tgz
Old sources:	LearnNonparam archive

Linking:

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