This class summarizes the fit of a marginal regression model using GEE.
bse () | |
centered_resid () | Returns the residuals centered within each group. |
conf_int ([alpha, cols, cov_type]) | Returns confidence intervals for the fitted parameters. |
cov_params ([r_matrix, column, scale, cov_p, …]) | Returns the variance/covariance matrix. |
f_test (r_matrix[, cov_p, scale, invcov]) | Compute the F-test for a joint linear hypothesis. |
fittedvalues () | Returns the fitted values from the model. |
get_margeff ([at, method, atexog, dummy, count]) | Get marginal effects of the fitted model. |
initialize (model, params, **kwd) | |
llf () | |
load (fname) | load a pickle, (class method) |
normalized_cov_params () | |
params_sensitivity (dep_params_first, …) | Refits the GEE model using a sequence of values for the dependence parameters. |
plot_added_variable (focus_exog[, …]) | Create an added variable plot for a fitted regression model. |
plot_ceres_residuals (focus_exog[, frac, …]) | Produces a CERES (Conditional Expectation Partial Residuals) plot for a fitted regression model. |
plot_isotropic_dependence ([ax, xpoints, min_n]) | Create a plot of the pairwise products of within-group residuals against the corresponding time differences. |
plot_partial_residuals (focus_exog[, ax]) | Create a partial residual, or ‘component plus residual’ plot for a fited regression model. |
predict ([exog, transform]) | Call self.model.predict with self.params as the first argument. |
pvalues () | |
remove_data () | remove data arrays, all nobs arrays from result and model |
resid () | Returns the residuals, the endogeneous data minus the fitted values from the model. |
resid_anscombe () | |
resid_centered () | Returns the residuals centered within each group. |
resid_centered_split () | Returns the residuals centered within each group. |
resid_deviance () | |
resid_pearson () | |
resid_response () | |
resid_split () | Returns the residuals, the endogeneous data minus the fitted values from the model. |
resid_working () | |
save (fname[, remove_data]) | save a pickle of this instance |
sensitivity_params (dep_params_first, …) | Refits the GEE model using a sequence of values for the dependence parameters. |
split_centered_resid () | Returns the residuals centered within each group. |
split_resid () | Returns the residuals, the endogeneous data minus the fitted values from the model. |
standard_errors ([cov_type]) | This is a convenience function that returns the standard errors for any covariance type. |
summary ([yname, xname, title, alpha]) | Summarize the GEE regression results |
t_test (r_matrix[, cov_p, scale, use_t]) | Compute a t-test for a each linear hypothesis of the form Rb = q |
t_test_pairwise (term_name[, method, alpha, …]) | perform pairwise t_test with multiple testing corrected p-values |
tvalues () | Return the t-statistic for a given parameter estimate. |
wald_test (r_matrix[, cov_p, scale, invcov, …]) | Compute a Wald-test for a joint linear hypothesis. |
wald_test_terms ([skip_single, …]) | Compute a sequence of Wald tests for terms over multiple columns |