Scan Parameter Ranges

Explore simulation results over ranges of quantity values

Generate simulation results for a range of parameter values to better understand the impact of parameter changes on your model behavior.

Apps

SimBiology Model Builder	Build QSP, PK/PD, and mechanistic systems biology models interactively (Since R2020b)
SimBiology Model Analyzer	Analyze QSP, PK/PD, and mechanistic systems biology models

`sbiosimulate`	Simulate SimBiology model
`sbioaccelerate`	Prepare model object for accelerated simulations
`sbiosampleparameters`	Generate parameters by sampling covariate model (requires Statistics and Machine Learning Toolbox software)
`sbiosampleerror`	Sample error based on error model and add noise to input data
`addconfigset`	Create configuration set object and add to model object
`addobservable`	Add observable object to SimBiology model (Since R2020a)
`getconfigset`	Get configuration set object from model object
`createSimFunction`	Create `SimFunction` object
`sbioplot`	Plot simulation results in one figure
`sbiosubplot`	Plot simulation results in subplots
`sbiotrellis`	Plot data or simulation results in trellis plot

`SimData`	Simulation data
`Configset`	Solver settings information for model simulation
`SolverOptions`	SimBiology model solver options
`RuntimeOptions`	Options for logged SimBiology quantity components
`CompileOptions`	Compile options for SimBiology models
`SimFunction`	Function-like object to simulate SimBiology models
`SimFunctionSensitivity object`	SimFunctionSensitivity object, subclass of `SimFunction` object
`Scenarios`	Simulation scenarios

Scan Dosing Regimens Using SimBiology Model Analyzer App
Explore multiple dosing amounts that meet efficacy and toxicity thresholds.
Perform a Parameter Scan
This example shows how to perform a parameter scan by simulating a model multiple times, each time varying the value of a parameter.
Model Simulation
Simulate dynamic models using various solvers.
Choosing a Simulation Solver
SimBiology^® uses a solver function to compute solutions for a system of differential equations at different time intervals during model simulation.
Accelerating Model Simulations and Analyses
Accelerate simulation or analysis by converting a model to compiled C code.