pastas.rfunc.Gamma
==================

.. toctree::
   :hidden:

   /api/pastas/rfunc/Gamma.get_init_parameters
   /api/pastas/rfunc/Gamma.get_tmax
   /api/pastas/rfunc/Gamma.step
   /api/pastas/rfunc/Gamma.impulse

.. py:class:: pastas.rfunc.Gamma(cutoff: float = 0.999, **kwargs)



   
   Gamma response function with 3 parameters A, a, and n.

   :param up: indicates whether a positive stress will cause the head to go up (True,
              default) or down (False), if None the head can go both ways.
   :type up: bool or None, optional
   :param gain_scale_factor: mean value of the stress, used to set the initial value such that the final
                             step times the mean stress equals 1.
   :type gain_scale_factor: float, optional
   :param cutoff: proportion after which the step function is cut off.
   :type cutoff: float, optional

   .. rubric:: Notes

   The impulse response function for this class can be viewed on the
   Documentation website or using `latexify` by running the following code in a
   Jupyter notebook environment::

       ps.Gamma.impulse

   The Gamma function is equal to the Exponential function when n=1.















   ..
       !! processed by numpydoc !!
Methods
-------

.. autoapisummary::

   pastas.rfunc.Gamma.get_init_parameters
   pastas.rfunc.Gamma.get_tmax
   pastas.rfunc.Gamma.step
   pastas.rfunc.Gamma.impulse