| Name : R-liGP
| |
| Version : 1.0.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.7
| Date : 2024-06-14 11:36:40
|
| Group : Development/Libraries/Other
| Source RPM : R-liGP-1.0.1-lp153.2.7.src.rpm
|
| Size : 0.30 MB
| |
| Packager : (none)
| |
| Summary : Locally Induced Gaussian Process Regression
|
Description :
Performs locally induced approximate GP regression for large computer
experiments and spatial datasets following Cole D.A., Christianson, R.,
Gramacy, R.B. (2021) Statistics and Computing, 31(3), 1-21,
< arXiv:2008.12857>. The approximation is based on small local designs
combined with a set of inducing points (latent design points) for
predictions at particular inputs. Parallelization is supported for
generating predictions over an immense out-of-sample testing set. Local
optimization of the inducing points design is provided based on
variance-based criteria. Inducing point template schemes, including
scaling of space-filling designs, are also provided.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
