| Name : R-kosel
| |
| Version : 0.0.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.4.7
| Date : 2024-06-14 11:44:35
|
| Group : Development/Libraries/Other
| Source RPM : R-kosel-0.0.1-lp153.4.7.src.rpm
|
| Size : 0.04 MB
| |
| Packager : (none)
| |
| Summary : Variable Selection by Revisited Knockoffs Procedures
|
Description :
Performs variable selection for many types of L1-regularised
regressions using the revisited knockoffs procedure. This procedure
uses a matrix of knockoffs of the covariates independent from the
response variable Y. The idea is to determine if a covariate belongs to
the model depending on whether it enters the model before or after its
knockoff. The procedure suits for a wide range of regressions with
various types of response variables. Regression models available are
exported from the R packages \'glmnet\' and \'ordinalNet\'. Based on the
paper linked to via the URL below: Gegout A., Gueudin A., Karmann C.
(2019) < arXiv:1907.03153>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
