def __init__(self, ARA, f, k_star, mpk, params):
self._equilibrium_capital = k_star<EOL>self._intensive_output = f<EOL>self._marginal_product_capital = mpk<EOL>self._pratt_arrow_risk_aversion = ARA<EOL>c_star = self._c_star_factory(k_star)<EOL>terminal_condition = self._terminal_condition_factory(c_star)<EOL>self._equilibrium_consumption = c_star<EOL>rhs = self._rhs_factory(ARA, f, mpk)<EOL>super(RamseyCassKoopmansModel, self).__init__(self._initial_condition,<EOL>terminal_condition, <NUM_LIT:1>, <NUM_LIT:2>,<EOL>params, rhs)<EOL>
Initialize an instance of the RamseyCassKoopmans class.

Parameters
----------
ARA : function
    Pratt-Arrow absolute risk aversion function.
f : function
    Output (per unit effective labor supply).
k_star : function
    Equilibrium (i.e., steady-state) value for capital stock (per unit
    effective labor supply).
mpk : function
    Marginal product of capital (per unit effective labor supply).
params : dict(str: float)
    Dictionary of model parameters