Package: DDAWASS
Type: Package
Title: Discrete Distribution Data Analysis with Wasserstein Distance
Version: 1.0.0
Date: 2026-10-21
Authors@R: person(given = "Antonio", family = "Irpino", role = c("aut", "cre", "cph"),
    email = "antonio.irpino@unicampania.it",
    comment = c(ORCID = "0000-0001-9293-7180"))
Description: S4 classes and methods for the analysis of data described
        by discrete distributions with finite support (e.g. frequency
        distributions of ratings, scores or counts observed on groups
        of individuals), using the L2 Wasserstein metric between
        quantile functions. It is the discrete counterpart of
        'HistDAWass' and provides exact Wasserstein distances (in C++),
        barycenters, Wasserstein variance, covariance and correlation,
        k-means and hierarchical clustering, quantile-based principal
        component and multiple factor analysis, two-component linear
        regression and reliability (Cronbach's alpha) indices. See
        Crocetta, Irpino, Antonucci and Marin (2025)
        <doi:10.1007/s11135-024-01956-0>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0), methods
Imports: Rcpp (>= 1.0.0), HistDAWass, FactoMineR, ggplot2, rlang,
        tibble, stats, utils, grDevices
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, CUB
VignetteBuilder: knitr
Config/testthat/edition: 3
RoxygenNote: 7.3.1
URL: https://github.com/Airpino/DDAWASS
BugReports: https://github.com/Airpino/DDAWASS/issues
NeedsCompilation: yes
Packaged: 2026-11-05 01:27:57 UTC; root
Author: Antonio Irpino [aut, cre, cph] (ORCID:
        <https://orcid.org/0000-0001-9293-7180>)
Maintainer: Antonio Irpino <antonio.irpino@unicampania.it>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-11-04 21:00:02 UTC
RemoteUrl: https://github.com/cran/DDAWASS
RemoteRef: HEAD
RemoteSha: ed4cf473469e7cfb7689d1cd0ca256111b4ff5ee