Package: HistDAWass
Type: Package
Title: Histogram-Valued Data Analysis
Version: 1.0.8
Date: 2024-01-24
Authors@R: c(person(given="Antonio",
                family= "Irpino", 
                role = c("aut", "cre"),
  	            email = "antonio.irpino@unicampania.it", 
  	            comment = c(ORCID = "0000-0001-9293-7180")))
Maintainer: Antonio Irpino <antonio.irpino@unicampania.it>
Description: In the framework of Symbolic Data Analysis, a relatively
        new approach to the statistical analysis of multi-valued data,
        we consider histogram-valued data, i.e., data described by
        univariate histograms. The methods and the basic statistics for
        histogram-valued data are mainly based on the L2 Wasserstein
        metric between distributions, i.e., the Euclidean metric
        between quantile functions. The package contains unsupervised
        classification techniques, least square regression and tools
        for histogram-valued data and for histogram time series. An
        introducing paper is Irpino A. Verde R. (2015) <doi:
        10.1007/s11634-014-0176-4>.
License: GPL (>= 2)
Imports: graphics, class, FactoMineR, ggplot2, ggridges, grid,
        histogram, grDevices, stats, utils, Rcpp
Depends: R(>= 3.1), methods
LazyData: true
Collate: 'For_Rccp_int.R' 'All_classes.R' 'RcppExports.R' 'Utility.R'
        'Met_HTS.R' 'Met_MatH.R' 'Met_distributionH.R' 'Fuzzy_cmeans.R'
        'H_time_series.R' 'HistDAWass-package.R' 'Kohonen_maps.R'
        'principal_components.R' 'regression.R'
        'unsuperv_classification.R' 'Plotting_with_ggplot.R'
Encoding: UTF-8
RoxygenNote: 7.3.1
NeedsCompilation: yes
LinkingTo: Rcpp,RcppArmadillo
Packaged: 2026-07-10 06:11:23 UTC; root
Author: Antonio Irpino [aut, cre]
        (<https://orcid.org/0000-0001-9293-7180>)
Config/pak/sysreqs: cmake libfreetype6-dev make libicu-dev libjpeg-dev
        libpng-dev libuv1-dev libxml2-dev libssl-dev zlib1g-dev
Repository: https://airpino.r-universe.dev
Date/Publication: 2024-01-25 10:14:06 UTC
RemoteUrl: https://github.com/airpino/histdawass
RemoteRef: HEAD
RemoteSha: be7447e3ba3c025ae26e80f2402e6536adafa8cf