statsmodels.othermod.betareg.BetaResults.get_distribution¶
- BetaResults.get_distribution(exog=None, exog_precision=None, transform=True)[source]¶
Return a instance of the predictive distribution.
- Parameters:
- exogarray_like
Array of predictor variables for mean.
- exog_precisionarray_like
Array of predictor variables for mean.
- transformbool
If transform is True and formulas have been used, then predictor
exog
is passed through the formula processing. Default is True.
- Returns:
Instance
of
a
scipy
frozen
distribution
based
on
estimated
- parameters.
See also
Notes
This function delegates to the predict method to handle exog and exog_precision, which in turn makes any required transformations.
Due to the behavior of
scipy.stats.distributions objects
, the returned random number generator must be called withgen.rvs(n)
wheren
is the number of observations in the data set used to fit the model. If any other value is used forn
, misleading results will be produced.