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) . Faster C++/R code: allocation-free Wasserstein kernels, faster SSQ and registration. Bug fixes: arithmetic between histograms, matrix subsetting, HTS moving averages and kNN prediction, Kohonen maps (PROP schema), fuzzy c-means prototypes. Automatic strx/stry in WH.plot_multiple_indivs. Five new vignettes: data creation, basic statistics, clustering, PCA, regression. Cleaned-up help pages (roxygen2 8.1.0) and a testthat test suite. See NEWS.md for details.

Airpino/HistDAWass: HistDAWass

Antonio Irpino
2026

Abstract

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) . Faster C++/R code: allocation-free Wasserstein kernels, faster SSQ and registration. Bug fixes: arithmetic between histograms, matrix subsetting, HTS moving averages and kNN prediction, Kohonen maps (PROP schema), fuzzy c-means prototypes. Automatic strx/stry in WH.plot_multiple_indivs. Five new vignettes: data creation, basic statistics, clustering, PCA, regression. Cleaned-up help pages (roxygen2 8.1.0) and a testthat test suite. See NEWS.md for details.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11591/614247
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