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," 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.
License
This project uses the following license: BSD 2-Clause
1 maintainer
Metadata
1 maintainer
Release files for weighted-average 1.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| weighted_average-1.3.0.tar.gz | 23.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| weighted_average-1.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 42.0 kB
Release files / weighted_average-1.3.0.tar.gz
| Download URL | weighted_average-1.3.0.tar.gz |
|---|---|
| Size | 23.7 kB |
| Tags | Source |
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Release files / weighted_average-1.3.0-py3-none-any.whl
| Download URL | weighted_average-1.3.0-py3-none-any.whl |
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| Size | 18.3 kB |
| Tags | Python 3 |
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