| Name : R-psda
| |
| Version : 1.4.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp156.13.1
| Date : 2024-06-24 15:22:28
|
| Group : Development/Libraries/Other
| Source RPM : R-psda-1.4.0-lp156.13.1.src.rpm
|
| Size : 0.49 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Polygonal Symbolic Data Analysis
|
Description :
A toolbox in symbolic data framework as a statistical learning and data
mining solution for symbolic polygonal data analysis. This study is a
new approach in data analysis and it was proposed by Silva et al.
(2019) < doi:10.1016/j.knosys.2018.08.009>. The package presents the
estimation of main descriptive statistical measures, e.g, mean,
covariance, variance, correlation and coefficient of variation. In
addition, a method to obtain polygonal data from classical data is
presented. Empirical probability distribution function based on
symbolic polygonal histogram and a regression model with its main
measures are presented.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
