| Name : R-kergp
| |
| Version : 0.5.7
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp156.3.1
| Date : 2024-09-10 18:44:15
|
| Group : Development/Libraries/Other
| Source RPM : R-kergp-0.5.7-lp156.3.1.src.rpm
|
| Size : 1.38 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Gaussian Process Laboratory
|
Description :
Gaussian process regression with an emphasis on kernels. Quantitative
and qualitative inputs are accepted. Some pre-defined kernels are
available, such as radial or tensor-sum for quantitative inputs, and
compound symmetry, low rank, group kernel for qualitative inputs. The
user can define new kernels and composite kernels through a formula
mechanism. Useful methods include parameter estimation by maximum
likelihood, simulation, prediction and leave-one-out validation.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
