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:

  • exog (array_like) – Array of predictor variables for mean.

  • exog_precision (array_like) – Array of predictor variables for mean.

  • transform (bool) – 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

predict

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 with gen.rvs(n) where n is the number of observations in the data set used to fit the model. If any other value is used for n, misleading results will be produced.