RMconstant: Covariance Matrix Constant in Space

In RandomFields: Simulation and Analysis of Random Fields

Description

RMconstant defines a spatially constant covariance function.

Usage

RMconstant(M, var)

Arguments

M	a numerical matrix defining the user-defined covariance for a random field; the matrix should be positive definite, symmetric and its dimension should be equal to the length of observation or simulation vector.
var	variance

Value

RMconstant returns an object of class RMmodel.

See Also

RMfixcov, RMmodel.

Examples

RFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set
##                   RFoptions(seed=NA) to make them all random again

model <- RMconstant(diag(2),var=3)
plot(model)
x <- seq(0,10,length=100)
z <- RFsimulate(model=model,x=x)

RandomFields documentation built on Jan. 19, 2022, 1:06 a.m.