eiCR: Ecological Inference for RxC Tables using the Cressie-Read Power Divergence

Estimates R by C vote transfer matrices (ecological contingency tables) from aggregate data by minimizing the Cressie-Read power measure. Acknowledgements: The authors wish to thank Consellería de Educación, Cultura y Universidades, Generalitat Valenciana (grant CIAICO/2023/031) for supporting this research.

Version: 0.0.1
Imports: stats
Suggests: ggplot2, numDeriv, Rsolnp, scales
Published: 2026-11-13
DOI: 10.32614/CRAN.package.eiCR (may not be active yet)
Author: Jose M. Pavía ORCID iD [aut, cre], Antonio Forcina ORCID iD [aut]
Maintainer: Jose M. Pavía <jose.m.pavia at uv.es>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: eiCR results

Documentation:

Reference manual: eiCR.html , eiCR.pdf

Downloads:

Package source: eiCR_0.0.1.tar.gz
Windows binaries: r-devel: not available, r-release: eiCR_0.0.1.zip, r-oldrel: eiCR_0.0.1.zip
macOS binaries: r-release (arm64): eiCR_0.0.1.tgz, r-oldrel (arm64): eiCR_0.0.1.tgz, r-release (x86_64): eiCR_0.0.1.tgz, r-oldrel (x86_64): eiCR_0.0.1.tgz

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