statsmodels.gam.generalized\_additive\_model.GLMGamResults ========================================================== .. currentmodule:: statsmodels.gam.generalized_additive_model .. autoclass:: GLMGamResults .. HACK -- the point here is that we don't want this to appear in the output, but the autosummary should still generate the pages. .. autosummary:: :toctree: GLMGamResults.aic GLMGamResults.bic GLMGamResults.bse GLMGamResults.conf_int GLMGamResults.cov_params GLMGamResults.cv GLMGamResults.deviance GLMGamResults.edf GLMGamResults.f_test GLMGamResults.fittedvalues GLMGamResults.gcv GLMGamResults.get_hat_matrix_diag GLMGamResults.get_influence GLMGamResults.get_prediction GLMGamResults.hat_matrix_diag GLMGamResults.hat_matrix_trace GLMGamResults.initialize GLMGamResults.llf GLMGamResults.llnull GLMGamResults.load GLMGamResults.mu GLMGamResults.normalized_cov_params GLMGamResults.null GLMGamResults.null_deviance GLMGamResults.partial_values GLMGamResults.pearson_chi2 GLMGamResults.plot_added_variable GLMGamResults.plot_ceres_residuals GLMGamResults.plot_partial GLMGamResults.plot_partial_residuals GLMGamResults.predict GLMGamResults.pvalues GLMGamResults.remove_data GLMGamResults.resid_anscombe GLMGamResults.resid_anscombe_scaled GLMGamResults.resid_anscombe_unscaled GLMGamResults.resid_deviance GLMGamResults.resid_pearson GLMGamResults.resid_response GLMGamResults.resid_working GLMGamResults.save GLMGamResults.summary GLMGamResults.summary2 GLMGamResults.t_test GLMGamResults.t_test_pairwise GLMGamResults.test_significance GLMGamResults.tvalues GLMGamResults.wald_test GLMGamResults.wald_test_terms .. HACK -- the point here is that we don't want this to appear in the output, but the autosummary should still generate the pages. .. autosummary:: :toctree: GLMGamResults.use_t