eiCircles: Ecological Inference of RxC Tables by Overdispersed-Multinomial Models

Estimates RxC (R by C) vote transfer matrices (ecological contingency tables) from aggregate data using the model described in Forcina et al. (2012), as extension of the model proposed in Brown and Payne (1986). Allows incorporation of covariates. References: Brown, P. and Payne, C. (1986). ”Aggregate data, ecological regression and voting transitions”. Journal of the American Statistical Association, 81, 453–460. <doi:10.1080/01621459.1986.10478290>. Forcina, A., Gnaldi, M. and Bracalente, B. (2012). ”A revised Brown and Payne model of voting behaviour applied to the 2009 elections in Italy”. Statistical Methods & Applications, 21, 109–119. <doi:10.1007/s10260-011-0184-x>.

Version: 0.0.1-7
Imports: stats, NlcOptim (≥ 0.6)
Suggests: ggplot2, scales
Published: 2024-03-24
Author: Antonio Forcina ORCID iD [aut], Jose M. Pavía ORCID iD [aut, cre]
Maintainer: Jose M. Pavía <jose.m.pavia at uv.es>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
CRAN checks: eiCircles results

Documentation:

Reference manual: eiCircles.pdf

Downloads:

Package source: eiCircles_0.0.1-7.tar.gz
Windows binaries: r-devel: eiCircles_0.0.1-7.zip, r-release: eiCircles_0.0.1-7.zip, r-oldrel: eiCircles_0.0.1-7.zip
macOS binaries: r-release (arm64): eiCircles_0.0.1-7.tgz, r-oldrel (arm64): eiCircles_0.0.1-7.tgz, r-release (x86_64): eiCircles_0.0.1-7.tgz
Old sources: eiCircles archive

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