Setting up calibration and priors outside the model file
=========================================================

Outside the model file, fixed parameters and priors are separated.

Fixed parameters can be given in a cell array::

    params = {
        'rho',   0.6
        'beta',  0.998
        ...
        'kappa', 161
    };

or as a structure::

    params       = struct();
    params.rho   = 0.6;
    params.beta  = 0.998;
    ...
    params.kappa = 161;

The parameterization is then pushed into the model object::

    m = set(m, parameters = params);

Priors for Bayesian (and MLE) estimation are given as a structure;
see :doc:`../Estimation/Main Estimation` for the five distinct parametrisations
(uniform, mean+std, quantile, raw hyperparameters, user-defined
PDF), the Dirichlet form for transition-matrix rows, and the full
endogenous-priors facility.