statsmodels.genmod.generalized_linear_model.GLMResults.llnull static GLMResults.llnull() [source]

statsmodels.genmod.generalized_linear_model.GLMResults.fittedvalues static GLMResults.fittedvalues() [source]

statsmodels.genmod.generalized_linear_model.GLMResults.bse static GLMResults.bse()

statsmodels.genmod.generalized_linear_model.GLMResults.bic static GLMResults.bic() [source]

statsmodels.genmod.generalized_linear_model.GLMResults.deviance static GLMResults.deviance() [source]

statsmodels.genmod.generalized_estimating_equations.GEEResults.tvalues static GEEResults.tvalues() Return the t-statistic for a given parameter estimate.

statsmodels.genmod.generalized_linear_model.GLMResults.aic static GLMResults.aic() [source]

statsmodels.genmod.generalized_estimating_equations.GEEResults.resid_split static GEEResults.resid_split() [source] Returns the residuals, the endogeneous data minus the fitted values from the model. The residuals are returned as a list of arrays containing the residuals for each cluster.

statsmodels.genmod.generalized_estimating_equations.GEEResults.split_centered_resid static GEEResults.split_centered_resid() Returns the residuals centered within each group. The residuals are returned as a list of arrays containing the centered residuals for each cluster.

statsmodels.genmod.generalized_estimating_equations.GEEResults.split_resid static GEEResults.split_resid() Returns the residuals, the endogeneous data minus the fitted values from the model. The residuals are returned as a list of arrays containing the residuals for each cluster.