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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 exclusively aggregate data (from voting units). References: Romero, Pavía, Martín and Romero (2020) <doi:10.1080/02664763.2020.1804842>. Pavía and Romero (2021a) <doi:10.31124/advance.14716638.v1>. Pavía and Romero (2021b) Symmetry estimating R×C vote transfer matrices from aggregate data.
Getting started
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Package details |
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| Author | Jose M. Pavía [aut, cre] (<https://orcid.org/0000-0002-0129-726X>), Rafael Romero [aut] |
| Maintainer | Jose M. Pavía <jose.m.pavia@uv.es> |
| License | EPL | file LICENSE |
| Version | 0.3.1-1 |
| Package repository | View on CRAN |
| Installation |
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