| Name : R-subsamp
| |
| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:13:58
|
| Group : Development/Libraries/Other
| Source RPM : R-subsamp-0.1.0-lp153.2.13.src.rpm
|
| Size : 0.02 MB
| |
| Packager : (none)
| |
| Summary : Subsample Winner Algorithm for Variable Selection in Linear Regression with a Large Number of Variables
|
Description :
This subsample winner algorithm (SWA) for regression with a large-p
data (X, Y) selects the important variables (or features) among the p
features X in explaining the response Y. The SWA first uses a base
procedure, here a linear regression, on each of subsamples randomly
drawn from the p variables, and then computes the scores of all
features, i.e., the p variables, according to the performance of these
features collected in each of the subsample analyses. It then obtains
the \'semifinalist\' of the features based on the resulting scores and
determines the \'finalists\', i.e., the important features, from the
\'semifinalist\'. Fan, Sun and Qiao (2017)
< http://sr2c.case.edu/swa-reg/>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
