pastas.solver.EmceeSolve.log_prior
==================================

.. py:method:: pastas.solver.EmceeSolve.log_prior(p: pastas.typing.ArrayLike) -> float

   
   Probability of parameter set given the priors.

   :param p: Numpy array with the parameters
   :type p: numpy.Array

   :returns: **lp** -- Probability of parameter set given the priors
   :rtype: float

   .. rubric:: Notes

   Two cases exist:

   - If any of the parameters touch the boundary, -np.inf is returned. This
     basically tells the algorithm that the parameter set is very unlikely.
   - Otherwise, the probability of each parameter given its prior is computed.















   ..
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