lphom: Ecological Inference by Linear Programming under Homogeneity

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 (2022) <doi:10.1177/00491241221092725>. Pavía (2023) <doi:10.1007/s43545-023-00658-y>. Pavía and Romero (2024) <doi:10.1093/jrsssa/qnae013>. Pavía (2024) A local convergent ecological inference algorithm for RxC tables. 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, Universidades y Empleo, Generalitat Valenciana (grant AICO/2021/257) and Ministerio de Economía e Innovación (grant PID2021-128228NB-I00) for supporting this research.

Version: 0.3.5-5
Depends: R (≥ 3.5.0)
Imports: stats, lpSolve (≥ 5.6.18)
Suggests: ggplot2, scales, Rsymphony (≥ 0.1-30)
Published: 2024-03-03
DOI: 10.32614/CRAN.package.lphom
Author: Jose M. Pavía ORCID iD [aut, cre], Rafael Romero [aut]
Maintainer: Jose M. Pavía <jose.m.pavia at uv.es>
License: EPL | file LICENSE
NeedsCompilation: no
Citation: lphom citation info
Materials: NEWS
CRAN checks: lphom results


Reference manual: lphom.pdf


Package source: lphom_0.3.5-5.tar.gz
Windows binaries: r-devel: lphom_0.3.5-5.zip, r-release: lphom_0.3.5-5.zip, r-oldrel: lphom_0.3.5-5.zip
macOS binaries: r-release (arm64): lphom_0.3.5-5.tgz, r-oldrel (arm64): lphom_0.3.5-5.tgz, r-release (x86_64): lphom_0.3.5-5.tgz, r-oldrel (x86_64): lphom_0.3.5-5.tgz
Old sources: lphom archive


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