fgpKern-class

This is the formal representation for data structures linked to the kernel of a Gaussian
 process model within the <a rd-options="=funGp-package" href="/link/funGp%20package?package=funGp&version=0.2.2&to=%3DfunGp-package" data-mini-rdoc="=funGp-package::funGp package">funGp package</a>.

Construction and smart selection of Gaussian process models
with emphasis on treatment of functional inputs. 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).
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.archives-ouvertes.fr/hal-02532713>.

Jose Betancourt

funGp

Gaussian Process Models for Scalar and Functional Inputs

Fran<c3><a7>ois Bachoc

Thierry Klein

Deborah Idier

Jeremy Rohmer

fgpKern-class function

<dl class="dl-horizontal">
<dt><code>kerType</code></dt><dd>Object of class <code>"character"</code>. Kernel type. To be set from "gauss", "matern5_2",
"matern3_2".</dd></dl><dt><code>f_disType</code></dt><dd>Object of class <code>"character"</code>. Distance type. To be set from "L2_bygroup",
"L2_index".</dd><dt><code>varHyp</code></dt><dd>Object of class <code>"numeric"</code>. Estimated variance parameter.</dd><dt><code>s_lsHyps</code></dt><dd>Object of class <code>"numeric"</code>. Estimated length-scale parameters for scalar inputs.</dd><dt><code>f_lsHyps</code></dt><dd>Object of class <code>"numeric"</code>. Estimated length-scale parameters for functional
inputs.</dd><dt><code>f_lsOwners</code></dt><dd>Object of class <code>"character"</code>. Index of functional input variable linked to each
element in f_lsHyps</dd>

Slots

This is the formal representation for data structures linked to the kernel of a Gaussian
 process model within the <a rd-options='=funGp-package' href='funGp package'>funGp package</a>.

fgpKern-class: S4 class for structures linked to the kernel of a funGp model

Description

Arguments

Slots