ei.Datasets: Real Datasets for Assessing Ecological Inference Algorithms

Provides more than 550 data sets of actual election results. Each of the data sets includes aggregate party and candidate outcomes at the voting unit (polling stations) level and two-way cross-tabulated results at the district level. These data sets can be used to assess ecological inference algorithms devised for estimating RxC (global) ecological contingency tables using exclusively aggregate results from voting units. Reference: Pavía (2022) <doi:10.1177/08944393211040808>.

Getting started

Package details

AuthorJose M. Pavía [aut, cre] (<https://orcid.org/0000-0002-0129-726X>)
MaintainerJose M. Pavía <jose.m.pavia@uv.es>
LicenseEPL | CC BY 4.0 | file LICENSE
Package repositoryView on CRAN
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ei.Datasets documentation built on April 27, 2022, 5:08 p.m.