| Name : R-creditmodel
| |
| Version : 1.3.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.9.7
| Date : 2024-06-14 11:52:49
|
| Group : Development/Libraries/Other
| Source RPM : R-creditmodel-1.3.1-lp153.9.7.src.rpm
|
| Size : 4.21 MB
| |
| Packager : (none)
| |
| Summary : Toolkit for Credit Modeling, Analysis and Visualization
|
Description :
Provides a highly efficient R tool suite for Credit Modeling, Analysis
and Visualization.Contains infrastructure functionalities such as data
exploration and preparation, missing values treatment, outliers
treatment, variable derivation, variable selection, dimensionality
reduction, grid search for hyper parameters, data mining and
visualization, model evaluation, strategy analysis etc. This package is
designed to make the development of binary classification models
(machine learning based models as well as credit scorecard) simpler and
faster. The references including: 1 Refaat, M. (2011, ISBN:
9781447511199). Credit Risk Scorecard: Development and Implementation
Using SAS; 2 Bezdek, James C.FCM: The fuzzy c-means clustering
algorithm. Computers & Geosciences
(0098-3004),< DOI:10.1016/0098-3004(84)90020-7>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
