|Simulate SimBiology model|
|Prepare model object for accelerated simulations|
|Generate parameters by sampling covariate model (requires Statistics and Machine Learning Toolbox software)|
|Sample error based on error model and add noise to simulation data|
|Create configuration set object and add to model object|
|Add observable object to SimBiology model|
|Get configuration set object from model object|
|Create SimFunction object|
|Solver settings information for model simulation|
|Specify model solver options|
|Options for logged species|
|Dimensional analysis and unit conversion options|
|Function-like interface to execute SimBiology models|
|SimFunctionSensitivity object, subclass of |
Explore multiple dosing amounts that meets the efficacy and toxicity thresholds.
This example shows how to perform a parameter scan by simulating a model multiple times, each time varying the value of a parameter.
Simulate dynamic models using various solvers.
SimBiology® uses a solver function to compute solutions for a system of differential equations at different time intervals during model simulation.
Accelerate the simulation or analysis by converting the model to compiled C code.