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.
| Version: | 0.1.4 |
| Depends: | R (≥ 3.1), methods |
| Imports: | graphics, class, FactoMineR, ggplot2, grid, histogram, grDevices, stats, utils |
| Published: | 2016-01-12 |
| Author: | Antonio Irpino [aut, cre] |
| Maintainer: | Antonio Irpino <antonio.irpino at unina2.it> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | HistDAWass results |
| Reference manual: | HistDAWass.pdf |
| Package source: | HistDAWass_0.1.4.tar.gz |
| Windows binaries: | r-devel: HistDAWass_0.1.4.zip, r-release: HistDAWass_0.1.4.zip, r-oldrel: HistDAWass_0.1.4.zip |
| OS X Mavericks binaries: | r-release: HistDAWass_0.1.4.tgz, r-oldrel: HistDAWass_0.1.4.tgz |
| Old sources: | HistDAWass archive |
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