| Name : R-GPM
| |
| Version : 3.0.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : 3.32
| Date : 2024-09-12 10:41:00
|
| Group : Development/Libraries/Other
| Source RPM : R-GPM-3.0.1-3.32.src.rpm
|
| Size : 0.29 MB
| |
| Packager : (none)
| |
| Summary : Gaussian Process Modeling of Multi-Response and Possibly Noisy Datasets
|
Description :
Provides a general and efficient tool for fitting a response surface to
a dataset via Gaussian processes. The dataset can have multiple
responses and be noisy (with stationary variance). The fitted GP model
can predict the gradient as well. The package is based on the work of
Bostanabad, R., Kearney, T., Tao, S. Y., Apley, D. W. & Chen, W. (2018)
Leveraging the nugget parameter for efficient Gaussian process
modeling. International Journal for Numerical Methods in Engineering,
114, 501-516.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/x86_64 |
