Metadata-Version: 2.1
Name: sweights
Version: 1.0.0
Summary: Tools for producing sweights using classic methods or custom orthogonal weight functions (COWs) and for correcting covariance matrices for weighted data fits.
Home-page: UNKNOWN
Author: Matthew Kenzie
Author-email: matthew.kenzie@cern.ch
License: "MIT"
Project-URL: Bug Tracker, https://github.com/matthewkenzie/sweights/issues
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: test
License-File: LICENSE

# sweights

![](https://img.shields.io/pypi/v/sweights.svg)

```bash
pip install sweights
```

We provide a few tools for projecting component weights ("sweights") for a control variable(s) using a discriminating variable(s). For details please see [Dembinski, Kenzie, Langenbruch, Schmelling - arXiv:2112.04574](https://arxiv.org/abs/2112.04574).

We also provide tools for correcting the covariance matrix of fits to weighted data. For details please see [Dembinski, Kenzie, Langenbruch, Schmelling - arXiv:2112.04574](https://arxiv.org/abs/2112.04574) (Sec IV) and [Langenbruch - arXiv:1911.01303](https://arxiv.org/abs/1911.01303).

## Documentation

Please head over to [sweights.readthedocs.io](https://sweights.readthedocs.io) for the latest documentation.


