lgcppars

sigma

this is 'beta' parameter in Brix and Diggle (2001)

theta

the mean of the latent field, if equal to NULL, this is set to -sigma^2/2

ONLY USED IN case where there is covariate information.

beta

A function for setting the parameters sigma, phi and theta for <code>lgcpPredict</code>. Note that the returned
set of parameters also features mu=-0.5*sigma^2, gives mean(exp(Y)) = 1.

Spatial and spatio-temporal modelling of point patterns using the
log-Gaussian Cox process. Bayesian inference for spatial, spatiotemporal,
multivariate and aggregated point processes using Markov chain Monte Carlo. See Benjamin M. Taylor, Tilman M. Davies, Barry S. Rowlingson, Peter J. Diggle (2015) <doi:10.18637/jss.v063.i07>.

lgcppars: lgcppars function

Description

Usage

Arguments

See Also