compute.main.effects

<p>This function computes the Sobol indices of the model variables, also known
as the main effects.  It identifies the relevant rows of the SSM <code>basis</code>
slot and sums the term variances. Called by <code><a rd-options="" href="/link/update.sensitivity?package=SSM&version=1.0.1" data-mini-rdoc="SSM::update.sensitivity">update.sensitivity</a></code>.</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.

Peter Curtis

Fit and Analyze Smooth Supersaturated Models

compute.main.effects function

<p>This function computes the Sobol indices of the model variables, also known
as the main effects.  It identifies the relevant rows of the SSM <code>basis</code>
slot and sums the term variances. Called by <code><a rd-options='' href='update.sensitivity'>update.sensitivity</a></code>.</p>

compute.main.effects: Compute main effects

Description

Usage

Arguments

Value