covEffects: covEffects function

In bentaylor1/lgcp: Log-Gaussian Cox Process

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

## Not run: ex <- expectation(lg,covEffects)[[1]] # lg is output from spatial LGCP MCMC

bentaylor1/lgcp documentation built on May 12, 2019, 2:09 p.m.