plotLAA

an object of class <a href="/link/?package=funGp&version=0.2.2" fgpm'="" data-mini-rdoc="funGp::"></a>'>fgpm corresponding to the funGp model to validate.

model

additional arguments affecting the plot. The following typical graphics parameters are
valid entries: xlim, ylim, xlab, ylab, main.

This method provides a diagnostic plot for the validation of a funGp Gaussian process model.
 It displays a calibration plot based on the leave-one-out predictions of the output at the points
 used to train the model.

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

plotLAA function

an object of class <a href='<a href='fgpm'></a>'>fgpm</a> corresponding to the funGp model to validate.

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plotLAA: Leave-one-out calibration plot for a funGp model

Description

Usage

Arguments