genmod.generalized_estimating_equations.GEEMargins()

statsmodels.genmod.generalized_estimating_equations.GEEMargins

class statsmodels.genmod.generalized_estimating_equations.GEEMargins(results, args, kwargs={}) [source]

Estimated marginal effects for a regression model fit with GEE.

Parameters:	results : GEEResults instance The results instance of a fitted discrete choice model args : tuple Args are passed to get_margeff. This is the same as results.get_margeff. See there for more information. kwargs : dict Keyword args are passed to get_margeff. This is the same as results.get_margeff. See there for more information.

Methods

conf_int([alpha])	Returns the confidence intervals of the marginal effects
get_margeff([at, method, atexog, dummy, count])
pvalues()
summary([alpha])	Returns a summary table for marginal effects
summary_frame([alpha])	Returns a DataFrame summarizing the marginal effects.
tvalues()

Methods

conf_int([alpha])	Returns the confidence intervals of the marginal effects
get_margeff([at, method, atexog, dummy, count])
pvalues()
summary([alpha])	Returns a summary table for marginal effects
summary_frame([alpha])	Returns a DataFrame summarizing the marginal effects.
tvalues()