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The Eas_stimate package enables the statistical estimation of parameters in complex models (algebraic, error-in-variables, differential, differential-algebraic and parabolic partial differential models) in a very user friendly environment.
Unlike other software tools available on the market, the user can enter both models and data in the same way he would write them on a paper pad. All symbols and characters are a key or a click away. The syntax control is very strict and helps reducing the learning curve, which is indeed very short: the user can start using Eas_stimate right after installing it.
You can follow graphically the iteration procedure during the optimisation of the relevant likelihood function and interact with the algorithm. Additionally, graphs can be saved during the execution, as well as at the end of the optimisation.
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