Binary choice logit model
Parameters : | endog : array-like
exog : array-like
|
---|
Attributes
endog | array | A reference to the endogenous response variable |
exog | array | A reference to the exogenous design. |
Methods
cdf(X) | The logistic cumulative distribution function |
fit(**kwargs[, start_params, method, ...]) | Fit the model using maximum likelihood. |
hessian(params) | Logit model Hessian matrix of the log-likelihood |
information(params) | Fisher information matrix of model |
initialize() | Initialize is called by |
loglike(params) | Log-likelihood of logit model. |
pdf(X) | The logistic probability density function |
predict([exog, linear]) | Predict response variable of a model given exogenous variables. |
score(params) | Logit model score (gradient) vector of the log-likelihood |