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>.

Version: 0.0.1-3
Depends: R (≥ 3.5.0)
Imports: tibble
Published: 2022-04-27
Author: Jose M. Pavía ORCID iD [aut, cre]
Maintainer: Jose M. Pavía <jose.m.pavia at uv.es>
License: EPL | CC BY 4.0 | file LICENSE
NeedsCompilation: no
Citation: ei.Datasets citation info
CRAN checks: ei.Datasets results

Documentation:

Reference manual: ei.Datasets.pdf

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Package source: ei.Datasets_0.0.1-3.tar.gz
Windows binaries: r-devel: ei.Datasets_0.0.1-3.zip, r-release: ei.Datasets_0.0.1-3.zip, r-oldrel: ei.Datasets_0.0.1-3.zip
macOS binaries: r-release (arm64): ei.Datasets_0.0.1-3.tgz, r-oldrel (arm64): ei.Datasets_0.0.1-3.tgz, r-release (x86_64): ei.Datasets_0.0.1-3.tgz, r-oldrel (x86_64): ei.Datasets_0.0.1-3.tgz
Old sources: ei.Datasets archive

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