Log-gaussian cox processes

Documentation for package ‘lgc’ version 1.4

lgc-package	Log-gaussian cox processes
.lgc_control	Control parameters for fitlgc.
activateOptMethods	Turn on optimized sparse matrix construction (Only relevant for very large models).
covStructFormula	Formula interface to covStructs.
fitlgc	Fit Log Gaussian (Cox) model using formula interface. Can handle both count observations and/or direct oberservations of the Log Gaussian process. The latent field is integrated out using the Laplace approximation. Fixed effects are estimated using a REML criterion.
gridConstruct	Construct a grid based on observation locations.
gridFactor	Construct a grid based on observation locations.
gridFilter	Construct a grid based on observation locations.
gridLocate	Construct a grid based on observation locations.
lgc	Log-gaussian cox processes
LRtest	Likelihood ratio tests of nested models.
rstandard.fitlgc	Simulation based residuals for goodness of fit.
sepGMRFpredict	Prediction for GMRF with separable covariance structure on d-dim lattice.
simulate.fitlgc	LGC simulation.