__init__ (endog, exog, **kwargs) |
|
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. |