Log-gaussian cox processes


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Documentation for package ‘lgc’ version 1.4

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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.