| Name : R-HistDAWass
| |
| Version : 1.0.8
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.8.1
| Date : 2024-09-30 21:34:24
|
| Group : Development/Libraries/Other
| Source RPM : R-HistDAWass-1.0.8-lp153.8.1.src.rpm
|
| Size : 2.31 MB
| |
| Packager : (none)
| |
| Summary : Histogram-Valued Data Analysis
|
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>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
