Abstract class for discrete choice models.
This class does not do anything itself but lays out the methods and call signature expected of child classes in addition to those of statsmodels.model.LikelihoodModel.
Methods
cdf(X) | The cumulative distribution function of the model. |
fit(**kwargs[, start_params, method, ...]) | Fit the model using maximum likelihood. |
hessian(params) | The Hessian matrix of the model |
information(params) | Fisher information matrix of model |
initialize() | Initialize is called by |
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. |
Attributes
endog_names | |
exog_names |