statsmodels.othermod.betareg.BetaModel.fit

BetaModel.fit(start_params=None, maxiter=1000, disp=False, method='bfgs', **kwds)[source]

Fit the model by maximum likelihood.

Parameters
start_paramsarray_like

A vector of starting values for the regression coefficients. If None, a default is chosen.

maxiterinteger

The maximum number of iterations

dispbool

Show convergence stats.

methodstr

The optimization method to use.

kwds :

Keyword arguments for the optimizer.

Returns
BetaResults instance.