statsmodels.genmod.generalized_linear_model.PredictionResultsMean.conf_int¶

PredictionResultsMean.conf_int(method='endpoint', alpha=0.05, **kwds)[source]¶

Confidence interval for the predicted value.

This is currently only available for t and z tests.

Parameters:

method ({"endpoint", "delta"}) – Method for confidence interval, “m If method is “endpoint”, then the confidence interval of the linear predictor is transformed by the prediction function. If method is “delta”, then the delta-method is used. The confidence interval in this case might reach outside the range of the prediction, for example probabilities larger than one or smaller than zero.
alpha (float, optional) – The significance level for the confidence interval. ie., The default alpha = .05 returns a 95% confidence interval.
kwds (extra keyword arguments) – currently ignored, only for compatibility, consistent signature

Returns:

ci – The array has the lower and the upper limit of the confidence interval in the columns.

Return type:

ndarray, (k_constraints, 2)