https://github.com/JuliaStats/HypothesisTests.jl

Hypothesis tests for Julia
https://github.com/JuliaStats/HypothesisTests.jl

hacktoberfest hypothesis-testing julia statistics

Last synced: 3 months ago
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Hypothesis tests for Julia

• Host: GitHub
• URL: https://github.com/JuliaStats/HypothesisTests.jl
• Owner: JuliaStats
• License: other
• Created: 2012-12-09T05:43:21.000Z (almost 12 years ago)
• Default Branch: master
• Last Pushed: 2024-06-04T21:01:18.000Z (5 months ago)
• Last Synced: 2024-07-28T02:03:41.434Z (3 months ago)
• Topics: hacktoberfest, hypothesis-testing, julia, statistics
• Language: Julia
• Homepage:
• Size: 1.27 MB
• Stars: 292
• Watchers: 22
• Forks: 87
• Open Issues: 84
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

Awesome Lists containing this project

• awesome-julia-datasciences - Hypothesis Tests - Hypothesis tests for Julia. (APL / Data Analysis / Data Visualization)

README

        
## HypothesisTests.jl

*HypothesisTests.jl* is a Julia package that implements a wide range of hypothesis tests.

- **Build & Testing Status:**

[![Build Status](https://github.com/JuliaStats/HypothesisTests.jl/actions/workflows/ci.yml/badge.svg?branch=master)](https://github.com/JuliaStats/HypothesisTests.jl/actions/workflows/ci.yml?query=branch%3Amaster)

[![Coverage Status](https://codecov.io/gh/JuliaStats/HypothesisTests.jl/branch/master/graph/badge.svg?token=ztSoTXYVhb)](https://codecov.io/gh/JuliaStats/HypothesisTests.jl)

- **Documentation**: [![][docs-stable-img]][docs-stable-url] [![][docs-latest-img]][docs-latest-url]

[docs-latest-img]: https://img.shields.io/badge/docs-dev-blue.svg

[docs-latest-url]: http://JuliaStats.github.io/HypothesisTests.jl/dev/

[docs-stable-img]: https://img.shields.io/badge/docs-stable-blue.svg

[docs-stable-url]: http://JuliaStats.github.io/HypothesisTests.jl/stable/

## Quick start

Some examples:

```julia

using HypothesisTests

pvalue(OneSampleTTest(x))

pvalue(OneSampleTTest(x), tail=:left)

pvalue(OneSampleTTest(x), tail=:right)

confint(OneSampleTTest(x))

confint(OneSampleTTest(x, tail=:left))

confint(OneSampleTTest(x, tail=:right))

OneSampleTTest(x).t

OneSampleTTest(x).df

pvalue(OneSampleTTest(x, y))

pvalue(EqualVarianceTTest(x, y))

pvalue(UnequalVarianceTTest(x, y))

pvalue(MannWhitneyUTest(x, y))

pvalue(SignedRankTest(x, y))

pvalue(SignedRankTest(x))

```