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HistDAWass

Histogram-Valued Data Analysis

v1.0.8 · Jan 24, 2024 · GPL (>= 2)

Description

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) <doi: 10.1007/s11634-014-0176-4>.

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NOTE r-oldrel-macos-arm64

installed package size

  installed size is  6.9Mb
  sub-directories of 1Mb or more:
    data   1.0Mb
    libs   4.9Mb
NOTE r-oldrel-macos-x86_64

installed package size

  installed size is  6.9Mb
  sub-directories of 1Mb or more:
    data   1.0Mb
    libs   4.9Mb
OK r-oldrel-windows-x86_64

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OK r-patched-linux-x86_64

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OK r-release-linux-x86_64

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OK r-release-macos-arm64

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Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE r-oldrel-macos-arm64

installed package size

  installed size is  6.9Mb
  sub-directories of 1Mb or more:
    data   1.0Mb
    libs   4.9Mb
NOTE r-oldrel-macos-x86_64

installed package size

  installed size is  6.9Mb
  sub-directories of 1Mb or more:
    data   1.0Mb
    libs   4.9Mb

Reverse Dependencies (1)

imports

Dependency Network

Dependencies Reverse dependencies class FactoMineR ggplot2 ggridges histogram Rcpp dataSDA HistDAWass

Version History

new 1.0.8 Mar 9, 2026