WEighted-AVErage (weave)
Smooth data across multiple dimensions using weighted averages.
Method 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 Metircs, vol. 10, no. 1, pp. 1-23, 2012.
Installing weave
To install weave from a local directory (in develop mode), follow these steps:
git clone https://github.com/ihmeuw-msca/weighted-average.git
cd weighted-average
pip install -e .
To install weave from a specific branch, follow these steps:
pip install git+https://github.com/ihmeuw-msca/weighted-average.git@<branch-name>
Using weave
To use weave, follow these steps:
<usage-example>
License
This project uses the following license: BSD 2-Clause