Ecological Inference by Linear Programming under Homogeneity R package lphom version 0.3.5-7 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. Software Depends: R (>= 3.5.0) Imports: stats, lpSolve (>= 5.6.18) Suggests: ggplot2, scales, Rsymphony (>= 0.1-30) Jose M. Pavía <jose.m.pavia@uv.es> Comprehensive R Archive Network (CRAN) Jose M. Pavía [aut, cre] (ORCID: <https://orcid.org/0000-0002-0129-726X>), Rafael Romero [aut] EPL file LICENSE (https://CRAN.R-project.org/package=lphom/LICENSE) 2025-10-12 application/tgz https://CRAN.R-project.org/package=lphom doi:10.32614/CRAN.package.lphom