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: 2026-10-22 13:46:54 UTC; anton
Author: Antonio Irpino [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0001-9293-7180>)
Maintainer: Antonio Irpino <antonio.irpino@unicampania.it>
Repository: CRAN
Date/Publication: 2026-11-04 21:00:02 UTC
Built: R 4.5.2; x86_64-apple-darwin20; 2026-11-05 00:26:39 UTC; unix
Archs: DDAWASS.so.dSYM
