compute.covariance.from.distance: Compute unscaled covariance matrix from a supplied distance...

Description Usage Arguments

View source: R/GP_SSM.R

Description

This is a legacy function and is not used.

Usage

1
compute.covariance.from.distance(distance, r, type = "exp", ssm)

Arguments

distance

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

r

A number. The length parameter for the correlation function

type

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

ssm

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


SSM documentation built on May 1, 2019, 10:09 p.m.