CovFunction.function: CovFunction.function function

In bentaylor1/lgcp: Log-Gaussian Cox Process

Description

A function used to define the covariance function for the latent field prior to running the MCMC algorithm

Usage

## S3 method for class 'function'
CovFunction(obj, ...)

Arguments

obj	a function object
...	additional arguments

Value

the covariance function ready to run the MCMC routine.

See Also

exponentialCovFct, RandomFieldsCovFct, SpikedExponentialCovFct, CovarianceFct

Examples

## Not run: cf1 <- CovFunction(exponentialCovFct)
## Not run: cf2 <- CovFunction(RandomFieldsCovFct(model="matern",additionalparameters=1))

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