fgpProj-class

This is the formal representation for data structures linked to projection of inputs in a
 Gaussian process model within the <a rd-options="=funGp-package" href="/link/funGp%20package?package=funGp&version=0.2.1&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

fgpProj-class function

<dl class="dl-horizontal">
<dt><code>pdims</code></dt><dd>Object of class <code>"numeric"</code>. Projection dimension of each input.</dd></dl><dt><code>basType</code></dt><dd>Object of class <code>"character"</code>. To be chosen from "PCA", "B-splines".</dd><dt><code>basis</code></dt><dd>Object of class <code>"list"</code>. Projection basis. For functional inputs, each element
(fDims_i x fpDims_i) contains the basis functions used for the projection of one functional input.</dd><dt><code>coefs</code></dt><dd>Object of class <code>"list"</code>. Each element (n x fpDims_i) contains the coefficients used for
the projection of one functional input.</dd>

Slots

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

fgpProj-class: S4 class for structures linked to projections in a funGp model

Description

Arguments

Slots