A package for forgotten effects theory computation using TensorFlow, NumPy, and Pandas.
Project description
Forgeffects is a package for analyzing and computing the forgotten effects theory.
Installation
Install directly from PyPI using:
pip install forgeffects
References
[1] Kaufmann, A. and Gil Aluja, J. Models for the Research of Forgotten Effects. Milladoiro, Santiago de Compostela, Spain, 1988.
[2] Mardones-Arias, E.; Rojas-Mora, J. foRgotten. R package version 1.1.0, 2022.
[3] Chávez-Bustamante, F.; Mardones-Arias, E.; Rojas-Mora, J.; Tijmes-Ihl, J.
A Forgotten Effects Approach to the Analysis of Complex Economic Systems: Identifying Indirect Effects on Trade Networks. Mathematics, 11(3), Article 531, 2023.
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