metrics
=======

.. py:module:: pastas.stats.metrics

.. autoapi-nested-parse::

   The following methods may be used to describe the fit between the model simulation
   and the observations.

   .. rubric:: Examples

   Calculate metrics directly::

       ps.stats.rmse(sim, obs)

   Or from a Pastas model::

       ml.stats.rmse()

   ..
       !! processed by numpydoc !!


Functions
---------

.. toctree::
   :hidden:

   /api/pastas/stats/metrics/mae
   /api/pastas/stats/metrics/me
   /api/pastas/stats/metrics/rmse
   /api/pastas/stats/metrics/sse
   /api/pastas/stats/metrics/pearsonr
   /api/pastas/stats/metrics/evp
   /api/pastas/stats/metrics/nse
   /api/pastas/stats/metrics/nnse
   /api/pastas/stats/metrics/rsq
   /api/pastas/stats/metrics/bic
   /api/pastas/stats/metrics/aic
   /api/pastas/stats/metrics/aicc
   /api/pastas/stats/metrics/kge
   /api/pastas/stats/metrics/picp

.. autoapisummary::

   pastas.stats.metrics.mae
   pastas.stats.metrics.me
   pastas.stats.metrics.rmse
   pastas.stats.metrics.sse
   pastas.stats.metrics.pearsonr
   pastas.stats.metrics.evp
   pastas.stats.metrics.nse
   pastas.stats.metrics.nnse
   pastas.stats.metrics.rsq
   pastas.stats.metrics.bic
   pastas.stats.metrics.aic
   pastas.stats.metrics.aicc
   pastas.stats.metrics.kge
   pastas.stats.metrics.picp