SimBiology lets you estimate model parameters by fitting the model to experimental data. You can fit time-course data from a single individual using nonlinear regression. You can also use nonlinear mixed-effect (NLME) models to simultaneously fit data from a population using the following algorithms:
SimBiology provides standard goodness-of-fit statistics, including:
SimBiology also generates diagnostic plots that can be used to visually inspect the quality of a fit.
You can also fit data with algorithms from Statistics Toolbox™, Optimization Toolbox™, and Global Optimization Toolbox. SimBiology uses the Nelder-Mead simplex algorithm to perform unconstrained nonlinear optimization. Optimization Toolbox provides an interior-point solver for working with a relatively large sparse problem. Global Optimization Toolbox provides fitting algorithms and multistart algorithms to handle problems that contain local minima.