| Name : R-SMLE
| |
| Version : 2.1.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.4
| Date : 2024-06-14 11:41:40
|
| Group : Development/Libraries/Other
| Source RPM : R-SMLE-2.1.1-lp153.1.4.src.rpm
|
| Size : 3.07 MB
| |
| Packager : (none)
| |
| Summary : Joint Feature Screening via Sparse MLE
|
Description :
Feature screening is a powerful tool in processing ultrahigh
dimensional data. It attempts to screen out most irrelevant features in
preparation for a more elaborate analysis. Xu and Chen
(2014)< doi:10.1080/01621459.2013.879531> proposed an effective
screening method SMLE, which naturally incorporates the joint effects
among features in the screening process. This package provides an
efficient implementation of SMLE-screening for high-dimensional linear,
logistic, and Poisson models. The package also provides a function for
conducting accurate post-screening feature selection based on an
iterative hard-thresholding procedure and a user-specified selection
criterion.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
