Cvb: Cvb function

In bentaylor1/lgcp: Log-Gaussian Cox Process

Description

This function is used in thetaEst to estimate the temporal correlation parameter, theta.

Usage

Cvb(xyt, spatial.intensity, N = 100, spatial.covmodel, covpars)

Arguments

xyt	object of class stppp
spatial.intensity	bivariate density estimate of lambda, an object of class im (produced from density.ppp for example)
N	number of integration points
spatial.covmodel	spatial covariance model
covpars	additional covariance parameters

Value

a function, see below. Computes Monte carlo estimate of function C(v;beta) in Brix and Diggle 2001 pp 829 (... note later corrigendum to paper (2003) corrects the expression given in this paper)

References

1. Benjamin M. Taylor, Tilman M. Davies, Barry S. Rowlingson, Peter J. Diggle (2013). Journal of Statistical Software, 52(4), 1-40. URL http://www.jstatsoft.org/v52/i04/

2. Brix A, Diggle PJ (2001). Spatiotemporal Prediction for log-Gaussian Cox processes. Journal of the Royal Statistical Society, Series B, 63(4), 823-841.

See Also

thetaEst

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