lphom: Ecological Inference by Linear Programming under Homogeneity

Provides a bunch of algorithms based on linear programming for estimating RxC ecological contingency tables (or vote transition matrices) using exclusively aggregate results from voting units under the homogeneity hypothesis. References: Romero, Pavia, Martin and Romero (2020) <doi:10.1080/02664763.2020.1804842>. Pavia and Romero (2021a) <doi:10.31124/advance.14716638.v1>. Pavia and Romero (2021b) Symmetry estimating R×C vote transfer matrices from aggregate data.

Getting started

Package details

AuthorJose M. Pavía [aut, cre] (<https://orcid.org/0000-0002-0129-726X>), Rafael Romero [aut]
MaintainerJose M. Pavía <jose.m.pavia@uv.es>
LicenseEPL | file LICENSE
Package repositoryView on CRAN
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lphom documentation built on Sept. 9, 2021, 5:07 p.m.