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lphom

Ecological Inference by Linear Programming under Homogeneity

v0.3.5-7 · Oct 12, 2025 · EPL | file LICENSE

Description

Provides a bunch of algorithms based on linear programming for estimating, under the homogeneity hypothesis, RxC ecological contingency tables (or vote transition matrices) using mainly aggregate data (from voting units). References: Pavía and Romero (2024) <doi:10.1177/00491241221092725>. Pavía and Romero (2024) <doi:10.1093/jrsssa/qnae013>. Pavía (2023) <doi:10.1007/s43545-023-00658-y>. Pavía (2024) <doi:10.1080/0022250X.2024.2423943>. Pavía (2024) <doi:10.1177/07591063241277064>. Pavía and Penadés (2024). A bottom-up approach for ecological inference. Romero, Pavía, Martín and Romero (2020) <doi:10.1080/02664763.2020.1804842>. Acknowledgements: The authors wish to thank Consellería de Educación, Cultura, Universidades y Empleo, Generalitat Valenciana (grants AICO/2021/257, CIAICO/2023/031) and MICIU/AEI/10.13039/501100011033/FEDER, UE (grant PID2021-128228NB-I00) for supporting this research.

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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026

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new 0.3.5-7 Mar 9, 2026