concentrated.likelihood

<p>A number. The length parameter of the correlation function.</p>

<p>Computes the concentrated likelihood of the covariance matrix of an SSM
object, given a length parameter and the SSM Leave-One-Out errors.</p>

internal

Creates an S4 class "SSM" and defines functions for fitting smooth
supersaturated models, a polynomial model with spline-like behaviour.
Functions are defined for the computation of Sobol indices for sensitivity
analysis and plotting the main effects using FANOVA methods. It also
implements the estimation of the SSM metamodel error using a GP model with
a variety of defined correlation functions.

concentrated.likelihood: Compute the concentrated likelihood of a covariance matrix.

Description

Usage

Arguments

Value