numCases: numCases function

In bentaylor1/lgcp: Log-Gaussian Cox Process

Description

A function used in conjunction with the function "expectation" to compute the expected number of cases in each computational grid cell. Currently only implemented for spatial processes (lgcpPredictSpatialPlusPars and lgcpPredictAggregateSpatialPlusPars).

Usage

numCases(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 number of cases in each cell

See Also

expectation, lgcpPredictSpatialPlusPars, lgcpPredictAggregateSpatialPlusPars

Examples

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

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