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LearnNonparam  

'R6'-Based Flexible Framework for Permutation Tests
View on CRAN: Click here


Download and install LearnNonparam package within the R console
Install from CRAN:
install.packages("LearnNonparam")

Install from Github:
library("remotes")
install_github("cran/LearnNonparam")

Install by package version:
library("remotes")
install_version("LearnNonparam", "1.3.0")



Attach the package and use:
library("LearnNonparam")
Maintained by
Yan Du
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-10-15
Latest Update: 2025-06-02
Description:
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.
How to cite:
Yan Du (2024). LearnNonparam: 'R6'-Based Flexible Framework for Permutation Tests. R package version 1.3.0, https://cran.r-project.org/web/packages/LearnNonparam. Accessed 12 Sep. 2026.
Previous versions and publish date:
1.2.3 (2024-10-15 17:10), 1.2.4 (2024-11-12 10:10), 1.2.5 (2024-11-14 10:00), 1.2.6 (2024-12-17 22:10), 1.2.7 (2025-01-30 08:30), 1.2.8 (2025-04-29 19:00), 1.2.9 (2025-06-02 10:10), (2026-07-09 08:08)
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Complete documentation for LearnNonparam
Functions, R codes and Examples using the LearnNonparam R package
Full LearnNonparam package functions and examples
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