logLikelihoodFun.NoiseKriging: Compute Log-Likelihood of NoiseKriging Model

In rlibkriging: Kriging Models using the 'libKriging' Library

Compute Log-Likelihood of NoiseKriging Model

Description

Compute Log-Likelihood of NoiseKriging Model

Usage

## S3 method for class 'NoiseKriging'
logLikelihoodFun(object, theta_sigma2, grad = FALSE, bench = FALSE, ...)

Arguments

object	An S3 NoiseKriging object.
theta_sigma2	A numeric vector of (positive) range parameters and variance at which the log-likelihood will be evaluated.
grad	Logical. Should the function return the gradient?
bench	Logical. Should the function display benchmarking output
...	Not used.

Value

The log-Likelihood computed for given \boldsymbol{theta_sigma2}.

Author(s)

Yann Richet [e-mail]

rlibkriging documentation built on July 9, 2023, 5:53 p.m.