statsmodels.genmod.generalized_estimating_equations.GEEResults.plot_added_variable

method

GEEResults.plot_added_variable(focus_exog, resid_type=None, use_glm_weights=True, fit_kwargs=None, ax=None)[source]

Create an added variable plot for a fitted regression model.

Parameters
focus_exogint or string

The column index of exog, or a variable name, indicating the variable whose role in the regression is to be assessed.

resid_typestring

The type of residuals to use for the dependent variable. If None, uses resid_deviance for GLM/GEE and resid otherwise.

use_glm_weightsbool

Only used if the model is a GLM or GEE. If True, the residuals for the focus predictor are computed using WLS, with the weights obtained from the IRLS calculations for fitting the GLM. If False, unweighted regression is used.

fit_kwargsdict, optional

Keyword arguments to be passed to fit when refitting the model.

axAxes instance

Matplotlib Axes instance

Returns
figmatplotlib Figure

A matplotlib figure instance.