https://github.com/alcampopiano/hypothesize

Robust statistics in Python
https://github.com/alcampopiano/hypothesize

confidence-intervals data-analysis hypothesis-testing null-hypothesis python r robust-statistics significance-testing statistics stats

Last synced: 7 months ago
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Robust statistics in Python

• Host: GitHub
• URL: https://github.com/alcampopiano/hypothesize
• Owner: Alcampopiano
• License: bsd-3-clause
• Created: 2020-03-04T20:39:34.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2025-06-08T14:24:23.000Z (8 months ago)
• Last Synced: 2025-06-27T01:07:18.137Z (7 months ago)
• Topics: confidence-intervals, data-analysis, hypothesis-testing, null-hypothesis, python, r, robust-statistics, significance-testing, statistics, stats
• Language: Python
• Homepage: https://alcampopiano.github.io/hypothesize/
• Size: 5.2 MB
• Stars: 67
• Watchers: 3
• Forks: 4
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# Hypothesize 

[![status](https://joss.theoj.org/papers/caf4095b3cdcc3adbb0252c995d59926/status.svg)](https://joss.theoj.org/papers/caf4095b3cdcc3adbb0252c995d59926)

![tests](https://github.com/Alcampopiano/hypothesize/workflows/tests/badge.svg)

[![PyPI version](https://img.shields.io/pypi/v/hypothesize?style=flat-square)](https://pypi.org/project/hypothesize/)

[![PyPI - Downloads](https://img.shields.io/pypi/dw/hypothesize?style=flat-square)](https://pypistats.org/packages/hypothesize)

[![license](https://img.shields.io/pypi/l/hypothesize?style=flat-square)](https://github.com/Alcampopiano/hypothesize/blob/master/LICENSE)

A Python package for hypothesis testing using robust statistics

## Basic Example

### A robust measure of association with winsorized correlation

[](https://deepnote.com/launch?name=wincor&url=https://github.com/Alcampopiano/hypothesize/blob/master/examples/wincor.ipynb

)

```python

from hypothesize.measuring_associations import wincor

from hypothesize.utilities import create_example_data

# creating an example DataFrame with columns "cell_1" and "cell_2"

df=create_example_data(2)

results=wincor(df.cell_1, df.cell_2)

# returning the correlation, number of observations, p-value, and winsorized covariance

print(results)

{'cor': 0.11, 'nval': 50, 'sig': 0.44, 'wcov': 0.01}

```

## Documentation

:book: Please visit the [Hypothesize documentation site](https://Alcampopiano.github.io/hypothesize/).

Note that each statistical test in the can be launched 

directly in [Deepnote's](deepnote.com) hosted notebook environment—complete with sample data 

(as shown in the example above 👆). 

## Citing Hypothesize

[![status](https://joss.theoj.org/papers/caf4095b3cdcc3adbb0252c995d59926/status.svg)](https://joss.theoj.org/papers/caf4095b3cdcc3adbb0252c995d59926)

If you use Hypothesize in academic work, please use the following citation:

Campopiano, A., & Wilcox, R. R. (2020). Hypothesize: Robust Statistics for Python. 

Journal of Open Source Software, 5(50), 2241, https://doi.org/10.21105/joss.02241

BibTex:

```bib

@article{Campopiano2020,

  doi = {10.21105/joss.02241},

  url = {https://doi.org/10.21105/joss.02241},

  year = {2020},

  publisher = {The Open Journal},

  volume = {5},

  number = {50},

  pages = {2241},

  author = {Allan Campopiano and Rand R. Wilcox},

  title = {Hypothesize: Robust Statistics for Python},

  journal = {Journal of Open Source Software}

}

```