The function controls that the input parameter vector have a length equal to the theoretical one required by the model and that each parameter properly belongs to its range.
check.range_params(optimal_params, params_range_min, params_range_max)An error if any condition is not satisfied.
Numerical vector of length equal to the number of model parameters. For the 'Adapted Paik et al.'s Model' it can be computed as: \(n_p = 2L + R + 2\), where \(L\) stands for the number of intervals of the time domain and \(R\) the number of regressors of the dataset.
Numerical vector of length equal to the number of model parameters (\(n_p\)) and containing the minimum range for each parameter.
Numerical vector of length equal to the number of model parameters (\(n_p\)) and containing the maximum range for each parameter.