scikits.statsmodels.discretemod.Logit.fit

Logit.fit(start_params=None, maxiter=35, method='newton', tol=1e-008)

Fits the binary logit model.

Parameters:

start_params : array-like, optional

The default is a 0 vector.

maxiter : int, optional

Maximum number of iterations. The default is 35.

method : str, optional

method can be ‘newton’, ‘ncg’, ‘bfgs’. The default is ‘newton’.

tol : float, optional

The convergence tolerance for the solver. The default is 1e-08.

Returns:

DiscreteResults object :

See also

scikits.statsmodels.model.LikelihoodModel, scikits.statsmodels.sandbox.discretemod.DiscreteResults, scipy.optimize

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