| Name : R-sisireg
| |
| Version : 1.1.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.4
| Date : 2024-06-14 11:46:18
|
| Group : Development/Libraries/Other
| Source RPM : R-sisireg-1.1.1-lp153.2.4.src.rpm
|
| Size : 0.15 MB
| |
| Packager : (none)
| |
| Summary : Sign-Simplicity-Regression-Solver
|
Description :
Implementation of the SSR-Algorithm. The Sign-Simplicity-Regression
model is a nonparametric statistical model which is based on residual
signs and simplicity assumptions on the regression function. Goal is to
calculate the most parsimonious regression function satisfying the
statistical adequacy requirements. Theory and functions are specified
in Metzner (2020, ISBN: 979-8-68239-420-3, \"Trendbasierte Prognostik\")
and Metzner (2021, ISBN: 979-8-59347-027-0, \"Adäquates Maschinelles
Lernen\").
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
