MixedLMResults.t_test()
statsmodels.regression.mixed_linear_model.MixedLMResults.t_test
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MixedLMResults.t_test(r_matrix, scale=None, use_t=None)
[source] -
Compute a t-test for a each linear hypothesis of the form Rb = q
Parameters: r_matrix : array-like
If an array is given, a p x k 2d array or length k 1d array specifying the linear restrictions. It is assumed that the linear combination is equal to zero.
scale : float, optional
An optional
scale
to use. Default is the scale specified by the model fit.use_t : bool, optional
If use_t is None, then the default of the model is used. If use_t is True, then the p-values are based on the t distribution. If use_t is False, then the p-values are based on the normal distribution.
Returns: res : ContrastResults instance
The results for the test are attributes of this results instance. The available results have the same elements as the parameter table in
summary()
.
© 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.regression.mixed_linear_model.MixedLMResults.t_test.html