| Name : R-funGp
| |
| Version : 1.0.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.2
| Date : 2024-06-14 11:44:09
|
| Group : Development/Libraries/Other
| Source RPM : R-funGp-1.0.0-lp153.2.2.src.rpm
|
| Size : 0.71 MB
| |
| Packager : (none)
| |
| Summary : Gaussian Process Models for Scalar and Functional Inputs
|
Description :
Construction and smart selection of Gaussian process models for
analysis of computer experiments with emphasis on treatment of
functional inputs that are regularly sampled. This package offers: (i)
flexible modeling of functional-input regression problems through the
fairly general Gaussian process model; (ii) built-in dimension
reduction for functional inputs; (iii) heuristic optimization of the
structural parameters of the model (e.g., active inputs, kernel
function, type of distance). An in-depth tutorial in the use of funGp
is provided in Betancourt et al. (2024) < doi:10.18637/jss.v109.i05> and
Metamodeling background is provided in Betancourt et al. (2020)
< doi:10.1016/j.ress.2020.106870>. The algorithm for structural
parameter optimization is described in
< https://hal.science/hal-02532713>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
