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peramo  

Permutation Tests for Randomization Model
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("peramo", "0.1.5")



Attach the package and use:
library("peramo")
Maintained by
Duy Nghia Pham
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-08-10
Latest Update: 2025-09-03
Description:
Perform permutation-based hypothesis testing for randomized experiments as suggested in Ludbrook & Dudley (1998) and Ernst (2004) , introduced in Pham et al. (2022) .
How to cite:
Duy Nghia Pham (2022). peramo: Permutation Tests for Randomization Model. R package version 0.1.5, https://cran.r-project.org/web/packages/peramo. Accessed 30 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:40), 0.1.0 (2022-08-10 15:50), 0.1.1 (2022-12-19 11:20), 0.1.2 (2023-03-29 13:40), 0.1.3 (2023-05-31 18:20)
Other packages that cited peramo R package
View peramo citation profile
Other R packages that peramo depends, imports, suggests or enhances
Complete documentation for peramo
Functions, R codes and Examples using the peramo R package
Some associated functions: AB . XY . ctm . diffcalc . ensulizole . nolesser . owl . owlStat . peramo-package . tw_complex . twl . twlStat . 
Some associated R codes: AB.R . XY.R . ctm-data.R . diffcalc.R . ensulizole-data.R . nolesser.R . owl.R . owlStat.R . peramo-package.R . tw_complex.R . twl.R . twlStat.R . zzz.R .  Full peramo package functions and examples
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