sens.loc: Local sensitivities of a deterministic model

In baccione-eawag/EawagSchoolTools: Miscellaneous Tools for Eawag Summer School in Environmental Systems Analysis

Description

Calculate local sensitivity matrix of a deterministic model (matrix of partial derivatives of model results with respect to parameters), based on a simple discretization of the derivatives.

sens.loc.explicitpars is a modified version of sens.loc which calls a model with explicitly listed arguments (this is primarily for internal use when calling nls).

Usage

sens.loc(par,model,par.inc=0.01*par,...)

sens.loc.explicitpars(par,model.name,par.inc=0.01*par,x)

Arguments

par	named parameter vector
model	function representing the model; typically returns a vector, but could also return a matrix
model.name	function with explicit parameter arguments when using sens.loc.explicitpars
par.inc	increments of parameters used to approximate the derivatives
x	additional parameter arguments when using sens.loc.explicitpars
...	additional arguments passed to model

Value

Matrix of partial derivatives of model results (rows) with respect to parameters (columns), or 3-dimensional array of partial derivatives if model output is a matrix.

Author(s)

Peter Reichert <[e-mail]>

baccione-eawag/EawagSchoolTools documentation built on Dec. 19, 2021, 6:38 a.m.