LearnNonparam: R6-Based Flexible Framework for Permutation Tests

Implements non-parametric tests from Higgins (2004, ISBN:0534387756), including tests for one-sample, two-sample, k-sample, paired, randomized complete block design, correlation and contingency tables. 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: 1.2.3
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: 2024-10-15
DOI: 10.32614/CRAN.package.LearnNonparam
Author: Yan Du ORCID iD [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: README NEWS
CRAN checks: LearnNonparam results

Documentation:

Reference manual: LearnNonparam.pdf

Downloads:

Package source: LearnNonparam_1.2.3.tar.gz
Windows binaries: r-devel: LearnNonparam_1.2.3.zip, r-release: LearnNonparam_1.2.3.zip, r-oldrel: LearnNonparam_1.2.3.zip
macOS binaries: r-release (arm64): LearnNonparam_1.2.3.tgz, r-oldrel (arm64): LearnNonparam_1.2.3.tgz, r-release (x86_64): LearnNonparam_1.2.3.tgz, r-oldrel (x86_64): LearnNonparam_1.2.3.tgz

Linking:

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