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: PavÃa and Romero (2024) <doi:10.1177/00491241221092725>. PavÃa and Romero (2024) <doi:10.1093/jrsssa/qnae013>. PavÃa (2023) <doi:10.1007/s43545-023-00658-y>. PavÃa (2024) <doi:10.1080/0022250X.2024.2423943>. PavÃa (2024) <doi:10.1177/07591063241277064>. PavÃa and Penadés (2024). A bottom-up approach for ecological inference. Romero, PavÃa, MartÃn and Romero (2020) <doi:10.1080/02664763.2020.1804842>. Acknowledgements: The authors wish to thank ConsellerÃa de Educación, Universidades y Empleo, Generalitat Valenciana (grants AICO/2021/257, CIAICO/2023/031) and Ministerio de EconomÃa e Innovación (grant PID2021-128228NB-I00) for supporting this research.
Version: 0.3.5-6 Depends: R (≥ 3.5.0) Imports: stats, lpSolve (≥ 5.6.18) Suggests: ggplot2, scales, Rsymphony (≥ 0.1-30) Published: 2025-04-11 DOI: 10.32614/CRAN.package.lphom Author: Jose M. PavÃa [aut, cre], Rafael Romero [aut] Maintainer: Jose M. PavÃa <jose.m.pavia at uv.es> License: EPL | file LICENSE NeedsCompilation: no Citation: lphom citation info Materials: NEWS CRAN checks: lphom results Documentation: Reference manual: lphom.pdf Downloads: Package source: lphom_0.3.5-6.tar.gz Windows binaries: r-devel: lphom_0.3.5-6.zip, r-release: lphom_0.3.5-6.zip, r-oldrel: lphom_0.3.5-6.zip macOS binaries: r-release (arm64): lphom_0.3.5-6.tgz, r-oldrel (arm64): lphom_0.3.5-6.tgz, r-release (x86_64): lphom_0.3.5-6.tgz, r-oldrel (x86_64): lphom_0.3.5-6.tgz Old sources: lphom archive Linking:Please use the canonical form https://CRAN.R-project.org/package=lphom to link to this page.
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