| Name : R-Ohit
| |
| Version : 1.0.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:03:06
|
| Group : Development/Libraries/Other
| Source RPM : R-Ohit-1.0.0-lp153.2.13.src.rpm
|
| Size : 0.03 MB
| |
| Packager : (none)
| |
| Summary : OGA+HDIC+Trim and High-Dimensional Linear Regression Models
|
Description :
Ing and Lai (2011) < doi:10.5705/ss.2010.081> proposed a
high-dimensional model selection procedure that comprises three steps:
orthogonal greedy algorithm (OGA), high-dimensional information
criterion (HDIC), and Trim. The first two steps, OGA and HDIC, are used
to sequentially select input variables and determine stopping rules,
respectively. The third step, Trim, is used to delete irrelevant
variables remaining in the second step. This package aims at fitting a
high-dimensional linear regression model via OGA+HDIC+Trim.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
