LogGaussianPrior: LogGaussianPrior function

In bentaylor1/lgcp: Log-Gaussian Cox Process

Description

A function to create a Gaussian prior on the log scale

Usage

LogGaussianPrior(mean, variance)

Arguments

mean	a vector of length 2 representing the mean (on the log scale)
variance	a 2x2 matrix representing the variance (on the log scale)

Value

an object of class LogGaussianPrior that can be passed to the function PriorSpec.

See Also

GaussianPrior, linkPriorSpec.list

Examples

## Not run: LogGaussianPrior(mean=log(c(1,500)),variance=diag(0.15,2))

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