HistDAWass: Histogram-Valued Data Analysis
Version 0.1.6

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.

Package details

AuthorAntonio Irpino [aut, cre]
Date of publication2017-02-13 11:27:36
MaintainerAntonio Irpino <antonio.irpino@unina2.it>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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HistDAWass documentation built on May 29, 2017, 2:46 p.m.