Metadata-Version: 2.1
Name: weighted-average
Version: 1.1.0
Summary: Smooth data across multiple dimensions using weighted averages
Home-page: https://github.com/ihmeuw-msca/weighted-average
Author: IHME Math Sciences
Author-email: ihme.math.sciences@gmail.com
License: BSD 2-Clause License
Classifier: License :: OSI Approved :: BSD License
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown
Provides-Extra: doc
Provides-Extra: dev
License-File: LICENSE

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# Weighted-Average (WeAve)

The WeAve package (pronounced 'weave') smooths data across multiple dimensions
using weighted averages with methods inspired by the spatial-temporal models
developed in the following paper:

Foreman, K.J., Lozano, R., Lopez, A.D., et al. "[Modeling causes
of death: an integrated approach using CODEm](https://pophealthmetrics.biomedcentral.com/articles/10.1186/1478-7954-10-1),"
Popul Health Metrics, vol. 10, no. 1, pp. 1-23, 2012.

For instructions on how to install and use WeAve, please refer to the
[documentation](https://ihmeuw-msca.github.io/weighted-average/).

## License

This project uses the following license: [BSD 2-Clause](./LICENSE)
