| Name : R-KOBT
| |
| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.8.11
| Date : 2024-06-14 11:46:56
|
| Group : Development/Libraries/Other
| Source RPM : R-KOBT-0.1.0-lp153.8.11.src.rpm
|
| Size : 0.03 MB
| |
| Packager : (none)
| |
| Summary : Knockoff Boosted Tree
|
Description :
A novel strategy for conducting variable selection without prior model
topology knowledge using the knockoff method (Barber and Candes (2015)
< doi:10.1214/15-AOS1337>) with extreme boosted tree models (Chen and
Guestrin (2016) < doi:10.1145/2939672.2939785>). This method is inspired
by the original knockoff method, where the differences between original
and knockoff variables are used for variable selection with false
discovery rate control. In addition to the original knockoff generating
methods, two new sampling methods are available to be implemented,
namely the sparse covariance and principal component knockoff methods.
As results, the indices of selected variables are returned.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
