| Name : R-mboost
| |
| Version : 2.9.11
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : 1.1
| Date : 2024-09-10 07:22:03
|
| Group : Development/Libraries/Other
| Source RPM : R-mboost-2.9.11-1.1.src.rpm
|
| Size : 2.59 MB
| |
| Packager : (none)
| |
| Summary : Model-Based Boosting
|
Description :
Functional gradient descent algorithm (boosting) for optimizing general
risk functions utilizing component-wise (penalised) least squares
estimates or regression trees as base-learners for fitting generalized
linear, additive and interaction models to potentially high-dimensional
data. Models and algorithms are described in < doi:10.1214/07-STS242>, a
hands-on tutorial is available from < doi:10.1007/s00180-012-0382-5>.
The package allows user-specified loss functions and base-learners.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/x86_64 |
