refitWithVariableParameter: Refit modelset by iterative relaxation of single parameters

In MathurinD/STASNet: Fit and Simulate Model from Perturbation Data

Description

Refit modelset by iterative relaxation of single parameters

Usage

refitWithVariableParameter(var_par, modelset, nb_sub_params, nb_cores = 0,
  nb_samples = 5, method = "geneticlhs", reverse = F)

Arguments

var_par	ID of the variable parameter to test
modelset	A MRAmodelSet object
nb_sub_params	Number of parameters per submodel
nb_cores	Number of cores to use for the fitting
nb_samples	Number of samples to generate for the fitting
method	Method to use for the fitting
reverse	To revert variable to fixed parameters see reffitWithFixedParameter

Value

A list with the fields 'residuals' (fitted residuals), added_var (=var_par) and 'params' (the fitted parameter sets corresponding to the residuals)

MathurinD/STASNet documentation built on May 28, 2019, 1:50 p.m.