GEE.fit(maxiter=60, ctol=1e-06, start_params=None, params_niter=1, first_dep_update=0, cov_type='robust', ddof_scale=None, scaling_factor=1.0)
[source]
Fits a marginal regression model using generalized estimating equations (GEE).
Parameters: |
|
---|---|
Returns: | |
Return type: |
An instance of the GEEResults class or subclass |
If convergence difficulties occur, increase the values of first_dep_update
and/or params_niter
. Setting first_dep_update
to a greater value (e.g. ~10-20) causes the algorithm to move close to the GLM solution before attempting to identify the dependence structure.
For the Gaussian family, there is no benefit to setting params_niter
to a value greater than 1, since the mean structure parameters converge in one step.
© 2009–2012 Statsmodels Developers
© 2006–2008 Scipy Developers
© 2006 Jonathan E. Taylor
Licensed under the 3-clause BSD License.
http://www.statsmodels.org/stable/generated/statsmodels.genmod.generalized_estimating_equations.GEE.fit.html