| Name : R-LVGP
| |
| Version : 2.1.5
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.3.7
| Date : 2024-06-14 11:33:42
|
| Group : Development/Libraries/Other
| Source RPM : R-LVGP-2.1.5-lp153.3.7.src.rpm
|
| Size : 0.06 MB
| |
| Packager : (none)
| |
| Summary : Latent Variable Gaussian Process Modeling with Qualitative and Quantitative Input Variables
|
Description :
Fit response surfaces for datasets with latent-variable Gaussian
process modeling, predict responses for new inputs, and plot latent
variables locations in the latent space (only 1D or 2D). The input
variables of the datasets can be quantitative, qualitative/categorical
or mixed. The output variable of the datasets is a scalar
(quantitative). The optimization of the likelihood function is done
using a successive approximation/relaxation algorithm similar to
another GP modeling package \"GPM\". The modeling method is published in
\"A Latent Variable Approach to Gaussian Process Modeling with
Qualitative and Quantitative Factors\" by Yichi Zhang, Siyu Tao, Wei
Chen, and Daniel W. Apley (2018) < arXiv:1806.07504>. The package is
developed in IDEAL of Northwestern University.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
