expectation.lgcpPredictSpatialOnlyPlusParameters

an object of class lgcpPredictSpatialOnlyPlusParameters

a function with arguments 'Y', 'beta', 'eta', 'Z' and 'otherargs'. See vignette("Bayesian_lgcp") for an example

Not used in ordinary circumstances. Defines subset of samples over which to compute expectation. Expectation is computed using information from iterations 1:maxit, where 1 is the first non-burn in iteration dumped to disk.

maxit

This function requires data to have been dumped to disk: see <code>?dump2dir</code> and <code>?setoutput</code>. This function computes the
Monte Carlo Average of a function where data from a run of <code>lgcpPredict</code> has been dumped to disk.

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>.

expectation.lgcpPredictSpatialOnlyPlusParameters: expectation.lgcpPredictSpatialOnlyPlusParameters function

Description

Usage

Arguments

Value