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_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.