compute.covariance.from.distance

A matrix. A symmetric matrix of distances between design
points.

distance

A number. The length parameter for the correlation function

(optional) Character. Specifies the correlation function. Default
behaviour is to use <code>"exp"</code> for a squared exponential correlation.
<code>"Matern32"</code> uses a Matern 3/2 correlation.

type

(obsolete) An SSM object. Used for the removed
<code>"ssm"</code> correlation function which tried to use the local smoothness
of the SSM to measure distances.

This is a legacy function and is not used.

internal

Creates an S4 class "SSM" and defines functions for fitting smooth
supersaturated models, a polynomial model with spline-like behaviour.
Functions are defined for the computation of Sobol indices for sensitivity
analysis and plotting the main effects using FANOVA methods. It also
implements the estimation of the SSM metamodel error using a GP model with
a variety of defined correlation functions.

compute.covariance.from.distance: Compute unscaled covariance matrix from a supplied distance matrix and length parameter.

Description

Usage

Arguments