https://github.com/marco-congedo/permutationtests.jl
Univariate and multiple comparisons statistical hypothesis testing by data permutation
https://github.com/marco-congedo/permutationtests.jl
hypothesis-testing non-parametric-statistics permutation-tests resampling statistics
Last synced: 4 months ago
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Univariate and multiple comparisons statistical hypothesis testing by data permutation
- Host: GitHub
- URL: https://github.com/marco-congedo/permutationtests.jl
- Owner: Marco-Congedo
- License: other
- Created: 2024-06-30T12:39:04.000Z (almost 2 years ago)
- Default Branch: master
- Last Pushed: 2025-08-18T08:50:27.000Z (10 months ago)
- Last Synced: 2025-10-21T12:55:06.563Z (8 months ago)
- Topics: hypothesis-testing, non-parametric-statistics, permutation-tests, resampling, statistics
- Language: Julia
- Homepage:
- Size: 7.26 MB
- Stars: 8
- Watchers: 2
- Forks: 0
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
## PermutationTests.jl
| 
| [](https://Marco-Congedo.github.io/PermutationTests.jl/stable) |
|:---------------------------------------:|:--:|
A fast pure-[**julia**](https://julialang.org/) package for *univariate* and *multiple comparisons* statistical *hypothesis testing* based on *permutation theory*.
Besides featuring an API with many tests, this package allows you to create your own permutation tests.
---
## Installation
Execute the following command in julia's REPL:
]add PermutationTests
---
## Available tests
All tests have a *univariate* and *multiple comparisons* version:
- Pearson product-moment correlation
- Trend correlation (fit of any kind of regression)
- Point bi-serial correlation*
- Student's t for independent samples
- 1-way ANOVA for independent samples
- Χ² for 2xK contingency tables*
- Fisher exact test* (2x2 contingency tables)
- Student's t for repeated-measures
- 1-way ANOVA for repeated-measures
- Cochran Q*
- McNemar*
- One-sample Student's t
- Sign*
(* for dicothomous data)
---
## Quick start
As an example, let's run a Pearson correlation univariate test:
```
using PermutationTests
# number of observations
N=10
# some random Gaussian data
x, y = randn(N), randn(N)
t = rTest(x, y)
```
The test result `t` is a structure and its fields are printed in yellow,
looking like this:
Thus, for exmple, the p-value and the number of permutations used by the test
are retrived such as
```
t.p
t.nperm
```
---
## About the authors
[Marco Congedo](https://sites.google.com/site/marcocongedo), corresponding author and developer of the package, is a Research Director of [CNRS](http://www.cnrs.fr/en) (Centre National de la Recherche Scientifique), working at
[UGA](https://www.univ-grenoble-alpes.fr/english/) (University of Grenoble Alpes, France).
**Contact**: first name dot last name at gmail dot com
[Livio Finos](https://pnc.unipd.it/finos-livio/), is Full professor at the [Department of Statistical Sciences](https://www.unipd.it/en/stat) of [Univerità di Padova, Italy](https://pnc.unipd.it/).
**Contact**: first name dot last name at unipd dot it
---
## Disclaimer
This version has been roughly tested.
Independent reviewers for both the code and the documentation are welcome.
---
| **Documentation** |
|:---------------------------------------:|
| [](https://Marco-Congedo.github.io/PermutationTests.jl/stable) |