Package: HistDAWass
Type: Package
Title: Histogram-Valued Data Analysis
Version: 0.1
Date: 2015-02-17
Authors@R: c(person("Antonio", "Irpino", role = c("aut", "cre"),
  	     email = "antonio.irpino@unina2.it"))
Author: Antonio Irpino [aut, cre]
Maintainer: Antonio Irpino <antonio.irpino@unina2.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., a 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.
License: GPL (>= 2)
Imports: methods, FactoMineR, class
Depends: R (>= 2.10), graphics
LazyData: true
Collate: 'All_classes.R' 'Fuzzy_cmeans.R' 'H_time_series.R'
        'HistDAWass-package.R' 'Kohonen_maps.R' 'Met_HTS.R'
        'Met_MatH.R' 'Met_distributionH.R' 'Utility.R'
        'principal_components.R' 'regression.R'
        'unsuperv_classification.R'
NeedsCompilation: no
Packaged: 2015-02-18 15:09:08 UTC; Antonio
Repository: CRAN
Date/Publication: 2015-02-18 17:08:50
