CGGPplotvariogram

It's not actually a variogram or semivariogram.
It shows how the correlation function falls off as distance increases.

Run computer experiments using the adaptive composite grid
algorithm with a Gaussian process model.
The algorithm works best when running an experiment that can evaluate thousands
of points from a deterministic computer simulation.
This package is an implementation of a forthcoming paper by Plumlee,
Erickson, Ankenman, et al. For a preprint of the paper,
contact the maintainer of this package.

Collin Erickson

CGGP

Composite Grid Gaussian Processes

Matthew Plumlee

CGGPplotvariogram function

<dl><dt>CGGP</dt>
<dd>CGGP object</dd>
<dt>facet</dt>
<dd>How should the plots be faceted? If 1, in a row,
if 2, in a column, if 3, wrapped around.</dd>
<dt>outdims</dt>
<dd>Which output dimensions should be shown.</dd></dl>

Arguments

Plot something similar to a semivariogram — CGGPplotvariogram

<dl>

<dt>CGGP</dt>
<dd>CGGP object</dd>


<dt>facet</dt>
<dd>How should the plots be faceted? If 1, in a row,
if 2, in a column, if 3, wrapped around.</dd>


<dt>outdims</dt>
<dd>Which output dimensions should be shown.</dd>

</dl>

CGGPplotvariogram: Plot something similar to a semivariogram

Description

Usage

Value

Arguments

See Also

Examples