exponential_anisotropic3D_alt {GpGp}R Documentation

Geometrically anisotropic exponential covariance function (three dimensions, alternate parameterization)

Description

From a matrix of locations and covariance parameters of the form (variance, B11, B12, B13, B22, B23, B33, smoothness, nugget), return the square matrix of all pairwise covariances.

Usage

exponential_anisotropic3D_alt(covparms, locs)

d_exponential_anisotropic3D_alt(covparms, locs)

Arguments

covparms

A vector with covariance parameters in the form (variance, B11, B12, B13, B22, B23, B33, smoothness, nugget)

locs

A matrix with n rows and 3 columns. Each row of locs is a point in R^3.

Value

A matrix with n rows and n columns, with the i,j entry containing the covariance between observations at locs[i,] and locs[j,].

Functions

NA


[Package GpGp version 0.5.0 Index]