Package: lphom
Type: Package
Title: Ecological Inference by Linear Programming under Homogeneity
Version: 0.3.5-7
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 = "Rafael",
           family = "Romero",
           role = "aut",
           email = "rromero@eio.upv.es"))
Description: Provides a bunch of algorithms based on linear programming for estimating, under 
    the homogeneity hypothesis, RxC ecological contingency tables (or vote transition matrices) 
    using mainly aggregate data (from voting units). 
    References: 
    Pavía and Romero (2024) <doi:10.1177/00491241221092725>.
    Pavía and Romero (2024) <doi:10.1093/jrsssa/qnae013>.
    Pavía (2023) <doi:10.1007/s43545-023-00658-y>.
    Pavía (2024) <doi:10.1080/0022250X.2024.2423943>.
    Pavía (2024) <doi:10.1177/07591063241277064>.
    Pavía and Penadés (2024). A bottom-up approach for ecological inference.
    Romero, Pavía, Martín and Romero (2020) <doi:10.1080/02664763.2020.1804842>.
    Acknowledgements:
    The authors wish to thank Consellería de Educación, Cultura, Universidades y Empleo, Generalitat Valenciana (grants AICO/2021/257, CIAICO/2023/031) and MICIU/AEI/10.13039/501100011033/FEDER, UE (grant PID2021-128228NB-I00) for supporting this research.
License: EPL | file LICENSE
Encoding: UTF-8
Imports: stats, lpSolve (>= 5.6.18)
Depends: R (>= 3.5.0)
Suggests: ggplot2, scales, Rsymphony (>= 0.1-30)
LazyData: true
RoxygenNote: 7.2.3
NeedsCompilation: no
Packaged: 2025-10-12 19:13:49 UTC; mariaamparo
Author: Jose M. Pavía [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-0129-726X>),
  Rafael Romero [aut]
Maintainer: Jose M. Pavía <jose.m.pavia@uv.es>
Repository: CRAN
Date/Publication: 2025-10-12 23:00:02 UTC
Built: R 4.6.0; ; 2026-04-26 21:24:54 UTC; unix
