HistDAWass: Histogram-Valued Data Analysis
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 |
Downloads: