Find here the model, code, and example results of parameter fitting/calibration and sensitivity analysis for an agent-based model using NetLogo and R.

The corresponding manuscript is published in Journal of Artificial Societies and Social Simulation as:

Thiele JC, Kurth W, Grimm V (2014): Facilitating parameter estimation and sensitivity analysis of agent-based models: a cookbook using NetLogo and R. <http://jasss.soc.surrey.ac.uk/xx/x/x.html>

Methods/Techniques used are:
a. Parameter fitting:
1. Full Factorial Design
2. Simple Random Sampling
3. Latin Hypercube Sampling
4. Quasi-Newton Method
5. Simulated Annealing
6. Genetic Algorithm
7. Approximate Bayesian Computation

b. Sensitivity Analysis:
1. Local SA
2. Morris Screening
3. DoE
4. Partial (Rank) Correlation Coefficient
5. Standardised (Rank) Regression Coefficient
6. Sobol'
7. eFAST
8. FANOVA Decomposition

Have also a look on our other projects: http://www.uni-goettingen.de/de/315075.html

Project Samples

Full Factorial Design Simulated Annealing Approximate Bayesian Computation (ABC) Morris Elementary Effects Screening Sobol' Index eFAST

Project Activity

See All Activity >

Follow ABM-Calibration-SensitivityAnalysis

ABM-Calibration-SensitivityAnalysis Web Site

Other Useful Business Software
$300 in Free Credit Towards Top Cloud Services Icon
$300 in Free Credit Towards Top Cloud Services

Build VMs, containers, AI, databases, storage—all in one place.

Start your project in minutes. After credits run out, 20+ products include free monthly usage. Only pay when you're ready to scale.
Get Started
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of ABM-Calibration-SensitivityAnalysis!

Additional Project Details

Registered

2014-01-08
Report inappropriate content