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lgcp (version 1.3-8)
GPrealisation: GPrealisation function
Description
A function to store a realisation of a spatial gaussian process for use in MCMC algorithms that include Bayesian parameter estimation. Stores not only the realisation, but also computational quantities.
Usage
GPrealisation(gamma, fftgrid, covFunction, covParameters, d)
Arguments
gamma
the transformed (white noise) realisation of the process
fftgrid
an object of class FFTgrid, see ?genFFTgrid
covFunction
an object of class function returning the spatial covariance
covParameters
an object of class CovParamaters, see ?CovParamaters
d
matrix of grid distances
Value
a realisation of a spatial Gaussian process on a regular grid