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lgcp (version 1.3-8)

covEffects: covEffects function

Description

A function used in conjunction with the function "expectation" to compute the main covariate effects, lambda(s) exp[Z(s)beta] in each computational grid cell. Currently only implemented for spatial processes (lgcpPredictSpatialPlusPars and lgcpPredictAggregateSpatialPlusPars).

Usage

covEffects(Y, beta, eta, Z, otherargs)

Arguments

Y
the latent field
beta
the main effects
eta
the parameters of the latent field
Z
the design matrix
otherargs
other arguments to the function (see vignette "Bayesian_lgcp" for an explanation)

Value

  • the main effects

See Also

expectation, lgcpPredictSpatialPlusPars, lgcpPredictAggregateSpatialPlusPars

Examples

Run this code
ex <- expectation(lg,covEffects)[[1]] # lg is output from spatial LGCP MCMC

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