statsmodels.regression.linear_model.RegressionResults.compare_lm_test¶
method
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RegressionResults.compare_lm_test(restricted, demean=True, use_lr=False)[source]¶ Use Lagrange Multiplier test to test whether restricted model is correct
- Parameters
- restrictedResult instance
The restricted model is assumed to be nested in the current model. The result instance of the restricted model is required to have two attributes, residual sum of squares, ssr, residual degrees of freedom, df_resid.
- demeanbool
Flag indicating whether the demean the scores based on the residuals from the restricted model. If True, the covariance of the scores are used and the LM test is identical to the large sample version of the LR test.
- Returns
- lm_valuefloat
test statistic, chi2 distributed
- p_valuefloat
p-value of the test statistic
- df_diffint
degrees of freedom of the restriction, i.e. difference in df between models
Notes
TODO: explain LM text