A Matlab toolbox for sensitivity analysis (SA) capabilities that can be used to assess the influence of different model parameters on simulation endpoints. This is needed for ranking the input-factors in order of importance serving various purposes, including the identification of major contributors to the uncertainties in the predictions made using a model, or the identification of research priorities to improve risk assessments made using a model.

Eikos - Sensitivity Analysis Toolbox

Eikos is a toolbox that supports state of the art sensitivity analysis methods (local as well as global). Sensitivity analysis (SA) is used to assess the influence of model parameters on model predictions.

The Eikos Sensitivity Analysis Toolbox is an optional fully integrated module for Ecolego and is thus most suitable for using with Ecolego models, although external models are also supported by exporting/importing samples of model inputs and/or model predictions.

Correlations between parameters may be induced by rank order correlation (method of Iman and Conover). The supported sampling techniques are: Monte carlo, Latin Hypercube and Quasi-random LPt.

The SA methods included are:

  • Morris screening method
  • Extended Fourier Amplitude Sensitivity Test (EFAST)
  • Sobol (first, custom and total order)
  • Random balance design
  • Local sensitivity
  • Garten’s method

Eikos provides a graphical User interface (GUI) which lets you:

  • Specify uncertain model parameters and model outputs of interest
  • Generate and inspect input samples
  • Export input and output samples generated in Eikos
  • Import input and outputs samples generated externally into Eikos
  • Simulate and inspect the model output samples
  • Perform Sensitivity Analysis of model predictions
  • Graphically review the results using pie charts, scatter plots, tornado graphs, etc.

An earlier version of the Eikos toolbox were developed in MATLAB®

Publications:
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Contact

Support:

Send an email eikos@facilia.se




Related Links

Uppsala University