| Name : R-xtune
| |
| Version : 2.0.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.5
| Date : 2024-06-14 11:56:59
|
| Group : Development/Libraries/Other
| Source RPM : R-xtune-2.0.0-lp153.1.5.src.rpm
|
| Size : 4.04 MB
| |
| Packager : (none)
| |
| Summary : Regularized Regression with Feature-Specific Penalties Integrating External Information
|
Description :
Extends standard penalized regression (Lasso, Ridge, and Elastic-net)
to allow feature-specific shrinkage based on external information with
the goal of achieving a better prediction accuracy and variable
selection. Examples of external information include the grouping of
predictors, prior knowledge of biological importance, external
p-values, function annotations, etc. The choice of multiple tuning
parameters is done using an Empirical Bayes approach. A
majorization-minimization algorithm is employed for implementation.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
