Nonlinear Regression

Least-squares estimation to fit grouped or pooled data, single or multiple experiments

Functions

groupedData Create groupedData object
sbiofit Perform nonlinear least-squares regression
sbionlinfit Perform nonlinear least-squares regression using SimBiology models
sbioparamestim Perform parameter estimation
sbiosampleparameters Generate parameters by sampling covariate model
sbiosampleerror Sample error based on error model and add noise to simulation data

Classes

GroupedData object 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
OptimResults object Estimation results object, subclass of LeastSquaresResults
NLINResults object Estimation results object, subclass of LeastSquaresResults
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