HistDAWass: Histogram-Valued Data Analysis
Version 1.0.0

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) .

Package details

AuthorAntonio Irpino [aut, cre]
Date of publication2017-12-07 16:02:26 UTC
MaintainerAntonio Irpino <[email protected]>
LicenseGPL (>= 2)
Version1.0.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("HistDAWass")

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HistDAWass documentation built on Dec. 7, 2017, 5:03 p.m.