Package: OrdinalCompositions
Type: Package
Title: Wasserstein-Based Regression for Ordinal Compositional Data
Version: 0.1.0
Date: 2026-06-05
Authors@R: c(person("Nicola", "Piras", role = c("aut", "cre"),
                     email = "nicola.piras97@unica.it"),
              person("Monica", "Musio", role = c("aut"),
                     email = "monica.musio@unica.it"),
              person("Beniamino", "Cappelletti-Montano", role = c("aut"),
                     email = "beniamino.cappellettimontano@unica.it"))
Maintainer: Nicola Piras <nicola.piras97@unica.it>
Description: Tools analyzing regression models for ordinal
        compositional data using Wasserstein-based distances. The
        package includes linear programming solvers under simplex
        constraints, tensor product constructions and performance
        metrics.
Depends: R (>= 3.5.0)
Imports: lpSolveAPI, stats, extraDistr
Suggests: codalm, knitr, rmarkdown
License: GPL-2
NeedsCompilation: no
Packaged: 2026-10-06 12:12:57 UTC; root
Author: Nicola Piras [aut, cre], Monica Musio [aut], Beniamino
        Cappelletti-Montano [aut]
Encoding: UTF-8
RoxygenNote: 7.3.3
VignetteBuilder: knitr
LazyData: true
Repository: https://cran.r-universe.dev
Date/Publication: 2026-06-19 15:50:18 UTC
RemoteUrl: https://github.com/cran/OrdinalCompositions
RemoteRef: HEAD
RemoteSha: 339461178ebb2f1fa9a3a2059da7ca85b25bc668