# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "DDAWASS" in publications use:' type: software license: GPL-3.0-or-later title: 'DDAWASS: Discrete Distribution Data Analysis with Wasserstein Distance' version: 1.0.0 doi: 10.32614/CRAN.package.DDAWASS abstract: 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) . authors: - family-names: Irpino given-names: Antonio email: antonio.irpino@unicampania.it orcid: https://orcid.org/0000-0001-9293-7180 repository: https://airpino.r-universe.dev repository-code: https://github.com/Airpino/DDAWASS commit: ef4367d0a062427c7a1b761a94dd970e73e93b6c url: https://github.com/Airpino/DDAWASS date-released: '2026-10-21' contact: - family-names: Irpino given-names: Antonio email: antonio.irpino@unicampania.it orcid: https://orcid.org/0000-0001-9293-7180