Package: ecolRxC
Type: Package
Title: Ecological Inference of RxC Tables by Latent Structure
        Approaches
Version: 0.1.1-16
Authors@R: 
    c(person(given = "Jose M.",
           family = "Pavía",
           role = c("aut", "cre"),
           email = "jose.m.pavia@uv.es",
           comment = c(ORCID = "0000-0002-0129-726X")),
       person(given = "Søren Risbjerg",
           family = "Thomsen",
           role = "aut",
           email = "SRT@ps.au.dk"))
Description: 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>
        Pavía, J.M. and Thomsen, S.R. (2025) ''ecolRxC: Ecological
        inference estimation of RxC tables using latent structure
        approaches''. Political Science Research and Methods, 13(4),
        943-961. <doi:10.1017/psrm.2024.57> Thomsen, S.R. (1987,
        ISBN:87-7335-037-2). ''Danish Elections 1920 79: a Logit
        Approach to Ecological Analysis and Inference''. Politica,
        Aarhus, Denmark. Acknowledgements: The authors wish to thank
        Generalitat Valenciana (Conselleria de Educacion, Cultura y
        Universidades), grant CIACIO/2023/031, and Ministerio de
        Economia e Innovacion, grant PID2021-128228NB-I00, for
        supporting this research.
License: GPL (>= 2)
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo
Imports: stats, mvtnorm, Rcpp
Suggests: ggplot2, scales
RoxygenNote: 7.3.2
NeedsCompilation: yes
Packaged: 2026-07-04 13:43:33 UTC; root
Author: Jose M. Pavía [aut, cre] (ORCID:
        <https://orcid.org/0000-0002-0129-726X>), Søren Risbjerg
        Thomsen [aut]
Maintainer: Jose M. Pavía <jose.m.pavia@uv.es>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-05-09 18:09:58 UTC
RemoteUrl: https://github.com/cran/ecolRxC
RemoteRef: HEAD
RemoteSha: 10e1f6ec5695615da0c6b4f76ea4fb677451bd75