Main Content

Nonlinear Mixed-Effects Modeling

Maximum likelihood estimation of population parameters

Functions

fitPerform parameter estimation using SimBiology problem object
sbiofitmixedFit nonlinear mixed-effects model (requires Statistics and Machine Learning Toolbox software)
sbionlmefitEstimate nonlinear mixed effects using SimBiology models (requires Statistics and Machine Learning Toolbox software)
sbionlmefitsaEstimate nonlinear mixed effects with stochastic EM algorithm (requires Statistics and Machine Learning Toolbox software)
sbiosampleparametersGenerate parameters by sampling covariate model (requires Statistics and Machine Learning Toolbox software)
sbiosampleerrorSample error based on error model and add noise to simulation data
sbiofitstatusplotPlot status of nonlinear mixed-effects estimation

Objects

fitproblemSimBiology problem object for parameter estimation
CovariateModel objectDefine relationship between parameters and covariates
groupedData Table-like collection of data and metadata
EstimatedInfo objectObject containing information about estimated model quantities
ObservableObject containing expression for post-simulation calculations
NLMEResults objectResults object containing estimation results from nonlinear mixed-effects modeling

Apps

SimBiology Model BuilderBuild QSP, PK/PD, and mechanistic systems biology models interactively
SimBiology Model AnalyzerAnalyze QSP, PK/PD, and mechanistic systems biology models

Examples and How To

Concepts