statsmodels.othermod.betareg.BetaModel.fit

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

Fit the model by maximum likelihood.

Parameters:

• start_params (array-like) – A vector of starting values for the regression coefficients. If None, a default is chosen.

• maxiter (integer) – The maximum number of iterations

• disp (bool) – Show convergence stats.

• method (str) – The optimization method to use.

• kwds – Keyword arguments for the optimizer.

Return type:

BetaResults instance.