genmod.generalized_estimating_equations.GEEMargins()

statsmodels.genmod.generalized_estimating_equations.GEEMargins

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

Estimate the marginal effects of a model fit using generalized estimating equations.

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]) Get marginal effects of the fitted model.
pvalues()
summary([alpha]) Returns a summary table for marginal effects
summary_frame([alpha]) Returns a DataFrame summarizing the marginal effects.
tvalues()
doc_statsmodels
2017-01-18 16:09:29
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