In the framework of Symbolic Data Analysis, a relatively new
approach to the statistical analysis of multivalued data, we consider
histogramvalued data, i.e., data described by univariate histograms. The
methods and the basic statistics for histogramvalued 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 histogramvalued data and for
histogram time series. An introducing paper is Irpino A. Verde R. (2015)
Package details 


Author  Antonio Irpino [aut, cre] 
Date of publication  20171207 16:02:26 UTC 
Maintainer  Antonio Irpino <[email protected]> 
License  GPL (>= 2) 
Version  1.0.0 
Package repository  View on CRAN 
Installation 
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