statsmodels.genmod.generalized_linear_model.PredictionResults.conf_int
-
PredictionResults.conf_int(method='endpoint', alpha=0.05, **kwds)
[source] -
Returns the confidence interval of the value,
effect
of the constraint.This is currently only available for t and z tests.
Parameters: -
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)
-
alpha (float, optional) – The significance level for the confidence interval. ie., The default
© 2009–2012 Statsmodels Developers
© 2006–2008 Scipy Developers
© 2006 Jonathan E. Taylor
Licensed under the 3-clause BSD License.
http://www.statsmodels.org/stable/generated/statsmodels.genmod.generalized_linear_model.PredictionResults.conf_int.html