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, linear]) | Predict response variable of a model given exogenous variables. |
score(params) | Score vector of model. |
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