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) <doi:10.1007/s1163401401764>.
Package details 


Author  Antonio Irpino [aut, cre] 
Maintainer  Antonio Irpino <[email protected]> 
License  GPL (>= 2) 
Version  1.0.1 
Package repository  View on CRAN 
Installation 
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