smoothness.over.design

<p>This function evaluates the Frobenius norm of the Hessian matrix at all
design points. Used in the compuation of distance measures based on local
smoothness.</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.

smoothness.over.design: Compute the smoothness of an SSM at all design points.

Description

Usage

Arguments

Value