sbiofit | Perform nonlinear least-squares regression |
sbionlinfit | Perform nonlinear least-squares regression using SimBiology models (requires Statistics and Machine Learning Toolbox software) |
sbioparamestim | Perform parameter estimation |
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 simulation data |
sbioparameterci | Compute confidence intervals for estimated parameters (requires Statistics and Machine Learning Toolbox) |
sbiopredictionci | Compute confidence intervals for model predictions (requires Statistics and Machine Learning Toolbox) |
groupedData | Table-like collection of data and metadata |
EstimatedInfo object | Object containing information about estimated model quantities |
LeastSquaresResults object | Results object containing estimation results from least-squares regression |
Observable | Object containing expression for post-simulation calculations |
OptimResults object | Estimation results object, subclass of LeastSquaresResults |
NLINResults object | Estimation results object, subclass of LeastSquaresResults |
ParameterConfidenceInterval | Object containing confidence interval results for estimated parameters |
PredictionConfidenceInterval | Object containing confidence interval results for model predictions |
| SimBiology Model Builder | Build QSP, PK/PD, and mechanistic systems biology models interactively |
| SimBiology Model Analyzer | Analyze QSP, PK/PD, and mechanistic systems biology models |
Calculate NCA Parameters and Fit Model to PK/PD Data Using SimBiology Model Analyzer App
Perform noncompartmental analysis and calibrate model parameters by fitting to experimental PKPD data using nonlinear regression.
Fit One-Compartment Model to Individual PK Profile
This example shows how to fit an individual's PK profile data to one-compartment model and estimate pharmacokinetic parameters.
Fit a Two-Compartment Model to PK Profiles of Multiple Individuals
This example shows how to estimate pharmacokinetic parameters of multiple individuals using a two-compartment model.
Estimate Category-Specific PK Parameters for Multiple Individuals
This example shows how to estimate category-specific (such as young versus old, male versus female in a hierarchical model), individual-specific, and population-wide parameters using PK profile data from multiple individuals.
Perform Hybrid Optimization Using sbiofit
This example shows how to configure sbiofit to perform a hybrid optimization.
The purpose of regression models is to describe a response variable as a function of independent variables.
Supported Methods for Parameter Estimation in SimBiology
SimBiology® supports a variety of optimization methods for least-squares and mixed-effects estimation problems.
SimBiology supports the error models described in the following table.
The progress plot provides the live feedback on the status of parameter estimation
while using sbiofit, sbiofitmixed, or the Fit Data program in the
SimBiology Model Analyzer app.
Perform Data Fitting with PK/PD Models
SimBiology lets you estimate model parameters by fitting the model to experimental time-course data, using either nonlinear regression or mixed-effects (NLME) techniques.