smooth.AutoMSARIMA
==================

.. currentmodule:: smooth

.. autoclass:: AutoMSARIMA
   :no-members:



.. rubric:: Methods

.. autosummary::
   :toctree:
   :template: method.rst

   ~AutoMSARIMA.fit
   ~AutoMSARIMA.outlierdummy
   ~AutoMSARIMA.predict
   ~AutoMSARIMA.predict_intervals
   ~AutoMSARIMA.rstandard
   ~AutoMSARIMA.rstudent
   ~AutoMSARIMA.select_best_model
   ~AutoMSARIMA.summary





.. rubric:: Attributes

.. autosummary::
   :toctree:

   ~AutoMSARIMA.actuals
   ~AutoMSARIMA.aic
   ~AutoMSARIMA.aicc
   ~AutoMSARIMA.b_value
   ~AutoMSARIMA.bic
   ~AutoMSARIMA.bicc
   ~AutoMSARIMA.coef
   ~AutoMSARIMA.constant_value
   ~AutoMSARIMA.data
   ~AutoMSARIMA.distribution_
   ~AutoMSARIMA.error_type
   ~AutoMSARIMA.fitted
   ~AutoMSARIMA.holdout_data
   ~AutoMSARIMA.ic_weights
   ~AutoMSARIMA.initial_type
   ~AutoMSARIMA.initial_value
   ~AutoMSARIMA.is_combined
   ~AutoMSARIMA.lags_used
   ~AutoMSARIMA.loglik
   ~AutoMSARIMA.loss_
   ~AutoMSARIMA.loss_value
   ~AutoMSARIMA.measurement
   ~AutoMSARIMA.model_name
   ~AutoMSARIMA.model_type
   ~AutoMSARIMA.models
   ~AutoMSARIMA.n_param
   ~AutoMSARIMA.nobs
   ~AutoMSARIMA.nparam
   ~AutoMSARIMA.orders
   ~AutoMSARIMA.persistence_vector
   ~AutoMSARIMA.phi_
   ~AutoMSARIMA.profile
   ~AutoMSARIMA.residuals
   ~AutoMSARIMA.scale
   ~AutoMSARIMA.sigma
   ~AutoMSARIMA.states
   ~AutoMSARIMA.time_elapsed
   ~AutoMSARIMA.transition