Package: GLMcat
Title: Generalized Linear Models for Categorical Responses
Version: 0.2.5
Authors@R: 
    c(person(given = "Lorena", family = "León",role = c("aut", "cre"), email = "ylorenaleonv@gmail.com"),
    person(given = "Jean", family = "Peyhardi", email = "jean.peyhardi@umontpellier.fr", role = "aut"),
        person(given = "Catherine", family = "Trottier", email = "catherine.trottier@umontpellier.fr", role = "aut"))
Description: In statistical modeling, there is a wide variety of regression models for categorical dependent variables (nominal or ordinal data); yet, there is no software embracing all these models together in a uniform and generalized format. Following the methodology proposed by Peyhardi, Trottier, and Guédon (2015) <doi:10.1093/biomet/asv042>, we introduce 'GLMcat', an R package to estimate generalized linear models implemented under the unified specification (r, F, Z). Where r represents the ratio of probabilities (reference, cumulative, adjacent, or sequential), F the cumulative cdf function for the linkage, and Z, the design matrix.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
RoxygenNote: 7.1.1
LinkingTo: Rcpp, BH, RcppEigen
Imports: Rcpp, stats, stringr, ordinal
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), dplyr, ggplot2,
        gridExtra, gtools, tidyr
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2022-08-16 19:41:24 UTC; leonvelasco
Author: Lorena León [aut, cre],
  Jean Peyhardi [aut],
  Catherine Trottier [aut]
Maintainer: Lorena León <ylorenaleonv@gmail.com>
Repository: CRAN
Date/Publication: 2022-08-17 07:00:18 UTC
Built: R 4.1.2; x86_64-apple-darwin17.0; 2022-08-18 10:37:59 UTC; unix
Archs: GLMcat.so.dSYM
