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ecolRxC: Ecological Inference of RxC Tables by Latent Structure Approaches

Estimates RxC (R by C) vote transfer matrices (ecological contingency tables) from aggregate data building on Thomsen (1987) and Park (2008) approaches. References: Park, W.-H. (2008). ”Ecological Inference and Aggregate Analysis of Election”. PhD Dissertation. University of Michigan. <https://deepblue.lib.umich.edu/bitstream/handle/2027.42/58525/wpark_1.pdf> Thomsen, S.R. (1987, ISBN:87-7335-037-2). ”Danish Elections 1920 79: a Logit Approach to Ecological Analysis and Inference”. Politica, Aarhus, Denmark.

Version: 0.1.1-10
Imports: stats
Suggests: ggplot2, scales
Published: 2023-03-31
DOI: 10.32614/CRAN.package.ecolRxC
Author: Jose M. Pavía ORCID iD [aut, cre], Søren Risbjerg Thomsen [aut]
Maintainer: Jose M. Pavía <jose.m.pavia at uv.es>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: ecolRxC results

Documentation:

Reference manual: ecolRxC.pdf

Downloads:

Package source: ecolRxC_0.1.1-10.tar.gz
Windows binaries: r-devel: ecolRxC_0.1.1-10.zip, r-release: ecolRxC_0.1.1-10.zip, r-oldrel: ecolRxC_0.1.1-10.zip
macOS binaries: r-release (arm64): ecolRxC_0.1.1-10.tgz, r-oldrel (arm64): ecolRxC_0.1.1-10.tgz, r-release (x86_64): ecolRxC_0.1.1-10.tgz, r-oldrel (x86_64): ecolRxC_0.1.1-10.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.