statsmodels.othermod.betareg.BetaModel.get_distribution¶

BetaModel.get_distribution(params, exog=None, exog_precision=None)[source]¶

Return a instance of the predictive distribution.

Parameters:¶

paramsarray_like

The model parameters.

exogarray_like

Array of predictor variables for mean.

exog_precisionarray_like

Array of predictor variables for mean.

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.