smooth.SMA
==========

.. currentmodule:: smooth

.. autoclass:: SMA
   :no-members:



.. rubric:: Methods

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

   ~SMA.coefbootstrap
   ~SMA.confint
   ~SMA.fit
   ~SMA.multicov
   ~SMA.outlierdummy
   ~SMA.plot
   ~SMA.point_lik
   ~SMA.predict
   ~SMA.predict_intervals
   ~SMA.reapply
   ~SMA.reforecast
   ~SMA.rmultistep
   ~SMA.rstandard
   ~SMA.rstudent
   ~SMA.select_best_model
   ~SMA.simulate
   ~SMA.summary
   ~SMA.vcov





.. rubric:: Attributes

.. autosummary::
   :toctree:

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