matchcovariance: matchcovariance function

In lgcp: Log-Gaussian Cox Process

matchcovariance function

Description

A function to match the covariance matrix of a Gaussian Field with an approximate GMRF with neighbourhood size ns.

Usage

matchcovariance(
  xg,
  yg,
  ns,
  sigma,
  phi,
  model,
  additionalparameters,
  verbose = TRUE,
  r = 1,
  method = "Nelder-Mead"
)

Arguments

xg	x grid must be equally spaced
yg	y grid must be equally spaced
ns	neighbourhood size
sigma	spatial variability parameter
phi	spatial dependence parameter
model	covariance model, see ?CovarianceFct
additionalparameters	additional parameters for chosen covariance model
verbose	whether or not to print stuff generated by the optimiser
r	parameter used in optimisation, see Rue and Held (2005) pp 188. default value 1.
method	The choice of optimising routine must either be 'Nelder-Mead' or 'BFGS'. see ?optim

Value

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