CovFunction.function: CovFunction.function function

In lgcp: Log-Gaussian Cox Process

CovFunction.function function

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))

lgcp documentation built on Aug. 25, 2025, 9:49 a.m.