stGPrealisation: stGPrealisation function

In bentaylor1/lgcp: Log-Gaussian Cox Process

Description

A function to store a realisation of a spatiotemporal gaussian process for use in MCMC algorithms that include Bayesian parameter estimation. Stores not only the realisation, but also computational quantities.

Usage

stGPrealisation(gamma, fftgrid, covFunction, covParameters, d, tdiff)

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
tdiff	vector of time differences

Value

a realisation of a spatiotemporal Gaussian process on a regular grid

bentaylor1/lgcp documentation built on May 12, 2019, 2:09 p.m.