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lgcp (version 1.8)

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
# NOT RUN {
ex <- expectation(lg,covEffects)[[1]] # lg is output from spatial LGCP MCMC
# }

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