Methods
| cdf(X) | The cumulative distribution function of the model. |
| cov_params_func_l1(likelihood_model, xopt, ...) | Computes cov_params on a reduced parameter space corresponding to the nonzero parameters resulting from the l1 regularized fit. |
| fit([start_params, method, maxiter, ...]) | Fit the model using maximum likelihood. |
| fit_regularized([start_params, method, ...]) | Fit the model using a regularized maximum likelihood. |
| from_formula(formula, data[, subset]) | Create a Model from a formula and dataframe. |
| hessian(params) | The Hessian matrix of the model |
| information(params) | Fisher information matrix of model |
| initialize() | Initialize is called by statsmodels.model.LikelihoodModel.__init__ and should contain any preprocessing that needs to be done for a model. |
| loglike(params) | Log-likelihood of model. |
| pdf(X) | The probability density (mass) function of the model. |
| predict(params[, exog, exposure, offset, linear]) | Predict response variable of a count model given exogenous variables. |
| score(params) | Score vector of model. |
Attributes
| endog_names | |
| exog_names |