IDEAS is a Matlab®  toolbox for parameter identification of ordinary differential equation (ODE) models.  The parameter estimation is performed in the maximum-likelihood (ML) sense. IDEAS offers several options for the optimal criterion, depending on the hypothesis on the covariance matrix of the measurement errors.
The main feature of IDEAS is the assessment of the uncertainty of the estimates, based on the symbolic computation of sensitivity functions to evaluate the Fisher information matrix.

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