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# PyWhy-Stats
Pywhy-stats serves as Python library for implementations of various statistical methods, such as (un)conditional independence tests, which can be utilized in tasks like causal discovery.
# Documentation
See the [development version documentation](https://py-why.github.io/pywhy-stats/dev/index.html).
Or see [stable version documentation](https://py-why.github.io/pywhy-stats/stable/index.html)
# Installation
Installation is best done via `pip` or `conda`. For developers, they can also install from source using `pip`. See [installation page](TBD) for full details.
## Dependencies
Minimally, pywhy-stats requires:
* Python (>=3.8)
* numpy
* scipy
* scikit-learn
## User Installation
If you already have a working installation of numpy and scipy, the easiest way to install pywhy-stats is using `pip`:
# doesn't work until we make an official release :p
pip install -U pywhy-stats
To install the package from github, clone the repository and then `cd` into the directory. You can then use `poetry` to install:
poetry install
# if you would like an editable install of pywhy-stats for dev purposes
pip install -e .
# Contributing
We welcome contributions from the community. Please refer to our [contributing document](./CONTRIBUTING.md) and [developer document](./DEVELOPING.md) for information on developer workflows.
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