| Name : R-LINselect
| |
| Version : 1.1.5
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.4
| Date : 2024-06-14 11:07:07
|
| Group : Development/Libraries/Other
| Source RPM : R-LINselect-1.1.5-lp153.1.4.src.rpm
|
| Size : 0.37 MB
| |
| Packager : (none)
| |
| Summary : Selection of Linear Estimators
|
Description :
Estimate the mean of a Gaussian vector, by choosing among a large
collection of estimators, following the method developed by Y. Baraud,
C. Giraud and S. Huet (2014) < doi:10.1214/13-AIHP539>. In particular it
solves the problem of variable selection by choosing the best predictor
among predictors emanating from different methods as lasso,
elastic-net, adaptive lasso, pls, randomForest. Moreover, it can be
applied for choosing the tuning parameter in a Gauss-lasso procedure.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
