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,
optional A vector of starting values for the regression coefficients. If None, a default is chosen.
- maxiter
int,optional The maximum number of iterations
- dispbool,
optional Show convergence stats.
- method
str,optional The optimization method to use.
- kwds
Keyword arguments for the optimizer.
- start_paramsarray_like,
- Returns:
BetaResultsResults instance with fitted parameters.