- Home
- Statistical Analysis Software
- Hypothesize
On the recordRead 11 Oct 202625 facts
Hypothesize
Hypothesize · founded 2020
On the record
- Academic citation
- The site requests that academic users cite Campopiano and Wilcox's 2020 Journal of Open Source Software article.alcampopiano.github.io · read 11 Oct 2026
- Citation
- The home page gives a 2020 Journal of Open Source Software citation with Allan Campopiano and Rand R. Wilcox as authors.alcampopiano.github.io · read 11 Oct 2026
- Data import formats
- Pandas DataFrames or Series; CSV via Pandasalcampopiano.github.io · read 23 Sep 2026
- Dependencies
- The listed dependencies are Python 3.6 or newer, NumPy, Pandas, SciPy, and more-itertools, installed automatically with the installation command.alcampopiano.github.io · read 11 Oct 2026
- Deployment
- desktopalcampopiano.github.io · read 23 Sep 2026
- Error control
- Family-wise error can be controlled with sequentially rejective methods.alcampopiano.github.io · read 11 Oct 2026
- Estimator options
- Where applicable, tests can use estimators such as the mean, median, trimmed mean, winsorized correlation, and percentage bend correlation.alcampopiano.github.io · read 11 Oct 2026
- Estimators
- Where applicable, tests let users specify estimators such as the mean, median, trimmed mean, winsorized correlation, and percentage bend correlation.alcampopiano.github.io · read 11 Oct 2026
- Examples
- The overview says every top level function has a one click, ready to run example.alcampopopiano.github.io · read 11 Oct 2026
- Installation
- The package can be installed with pip using `pip install hypothesize`.alcampopiano.github.io · read 11 Oct 2026
- License
- Hypothesize is licensed under the BSD 3-Clause license.alcampopiano.github.io · read 11 Oct 2026
- Methods
- The library brings robust statistical methods based on Rand R. Wilcox’s WRS package to Python.alcampopiano.github.io · read 11 Oct 2026
- Notable function limit
- The function reference says some documented tests currently support only `trim_mean` as their measure-of-location estimator.alcampopiano.github.io · read 11 Oct 2026
- Notable limitation
- The function reference says `l2drmci` cannot handle unequal sample sizes when `pairwise_drop_na` is false.alcampopiano.github.io · read 11 Oct 2026
- Notebook integration
- The GitHub README says each statistical test can be launched in Deepnote’s hosted notebook environment with sample data.github.com · read 11 Oct 2026
- Purpose
- Hypothesize is a Python library for robust statistics that compares groups and measures associations.alcampopiano.github.io · read 11 Oct 2026
- Regression models
- Noalcampopiano.github.io · read 23 Sep 2026
- Requirements
- The listed dependencies are Python 3.6 or newer, NumPy, Pandas, SciPy, and more-itertools; the page says they install automatically with the pip command.alcampopiano.github.io · read 11 Oct 2026
