GPrealisation: GPrealisation function

In lgcp: Log-Gaussian Cox Process

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

lgcp documentation built on Oct. 3, 2023, 5:08 p.m.