| Name : R-stepgbm
| |
| Version : 1.0.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp156.1.1
| Date : 2024-09-10 08:14:03
|
| Group : Development/Libraries/Other
| Source RPM : R-stepgbm-1.0.1-lp156.1.1.src.rpm
|
| Size : 0.03 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Stepwise Variable Selection for Generalized Boosted Regression Modeling
|
Description :
An introduction to a couple of novel predictive variable selection
methods for generalised boosted regression modeling (gbm). They are
based on various variable influence methods (i.e., relative variable
influence (RVI) and knowledge informed RVI (i.e., KIRVI, and KIRVI2))
that adopted similar ideas as AVI, KIAVI and KIAVI2 in the \'steprf\'
package, and also based on predictive accuracy in stepwise algorithms.
For details of the variable selection methods, please see: Li, J.,
Siwabessy, J., Huang, Z. and Nichol, S. (2019)
< doi:10.3390/geosciences9040180>. Li, J., Alvarez, B., Siwabessy, J.,
Tran, M., Huang, Z., Przeslawski, R., Radke, L., Howard, F., Nichol, S.
(2017). < DOI: 10.13140/RG.2.2.27686.22085>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
