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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 [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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These binaries (installable software) and packages are in development.
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