Policy Priority Inference
This is the official repository of the Policy Priority Inference (PPI) research programme, created by Dr. Omar A. Guerrero and Prof. Gonzalo Castañeda. Here you will find the source code of the latest version of the agent-computing model underlying PPI, as well as tutorials to get started.
References
This version of the model will appear in the open-access book:
- Guerrero O. and Castañeda G. (2024) Complexity Economics and Sustainable Development: A Computational Framework for Policy Priority Inference. Cambridge University Press.
It can also be consulted in the paper:
- Guerrero O., Guariso D., and Castañeda G. (2023) Aid effectiveness in sustainable development: A multidimensional approach. World Development (https://doi.org/10.1016/j.worlddev.2023.106256).
Previous further information on publications, impact, media coverage, and supporting materials visit its homepage .
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Release files for policy-priority-inference 3.0.7
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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| policy_priority_inference-3.0.7.tar.gz | 11.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| policy_priority_inference-3.0.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 24.3 kB
Release files / policy_priority_inference-3.0.7.tar.gz
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