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, Universidades y Empleo, Generalitat Valenciana (grants AICO/2021/257, CIAICO/2023/031) and Ministerio de Economía 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. Pavía |
| 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_0.3.5-6.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 |
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