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Features
Step 3 of our tour of ModelMaker's extensive range of features and functions:
Building your model
Running your model
Analyze your model
Reporting your results
ModelMaker provides a full range of analysis techniques.
Use ModelMaker's optimization facility to find the best agreement between your model's data and input experimental data. Features include:
- Marquardt or Simplex methods of optimization
- Simulated annealing and Grid search methods of initial parameter estimation (NEW in ModelMaker 4!)
- Ordinary least squares, Weighted least squares and Extended least squares (NEW!) methods of error scaling
- Comprehensive statistical reporting
Use ModelMaker's Monte Carlo facility (also known as Global sensitivity) to specify model parameters as random distributions. This tool (NEW to ModelMaker 4) allows investigation of the effect of varying parameters on component values. You can:
- Choose from 14 distribution types
- Display your results as a histogram
- Generate a comprehensive statistical report
Other ModelMaker analysis tools include:
- Minimization
- Sensitivity analysis
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