Package: lphom
Type: Package
Title: Ecological Inference by Linear Programming under Homogeneity
Version: 0.1.3
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 RxC ecological contingency tables (vote transitions matrices) using exclusively aggregate results from voting units under the homogeneity hypothesis. References: Romero, Pavia, Martin and Romero (2020) <doi:10.1080/02664763.2020.1804842>. Pavia and Romero (2021) Improving estimates accuracy of voter transitions. Two new algorithms for ecological inference based on linear programming.
License: GPL (>= 2) | file LICENSE
Encoding: UTF-8
Imports: stats
Depends: R (>= 3.5.0), lpSolve
Suggests: ggplot2
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-06-01 08:11:54 UTC; Jose M Pavia
Author: Jose M. Pavía [aut, cre] (<https://orcid.org/0000-0002-0129-726X>),
  Rafael Romero [aut]
Maintainer: Jose M. Pavía <jose.m.pavia@uv.es>
Repository: CRAN
Date/Publication: 2021-06-02 06:50:02 UTC
