| Name : R-tgp
| |
| Version : 2.4.23
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : 1.1
| Date : 2024-09-10 00:13:16
|
| Group : Development/Libraries/Other
| Source RPM : R-tgp-2.4.23-1.1.src.rpm
|
| Size : 3.45 MB
| |
| Packager : (none)
| |
| Summary : Bayesian treed Gaussian process models
|
Description :
Bayesian nonstationary, semiparametric nonlinear regression and design
by treed Gaussian processes (GPs) with jumps to the limiting linear
model (LLM). Special cases also implemented include Bayesian linear
models, CART, treed linear models, stationary separable and isotropic
GPs, and GP single-index models. Provides 1-d and 2-d plotting
functions (with projection and slice capabilities) and tree drawing,
designed for visualization of tgp-class output. Sensitivity analysis
and multi-resolution models are supported. Sequential experimental
design and adaptive sampling functions are also provided, including
ALM, ALC, and expected improvement. The latter supports
derivative-free optimization of noisy black-box functions. For details
and tutorials, see Gramacy (2007) < doi:10.18637/jss.v019.i09> and
Gramacy & Taddy (2010) < doi:10.18637/jss.v033.i06>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/x86_64 |
