Airpino/HistDAWass: Histogram-Valued Data Analysis

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.

Getting started

Package details

AuthorAntonio Irpino [aut, cre]
MaintainerAntonio Irpino <[email protected]>
LicenseGPL (>=2)
Version0.1.8
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("Airpino/HistDAWass")
Airpino/HistDAWass documentation built on Oct. 5, 2017, 8:12 p.m.