2.7.1.1.2. statsmodels.base.model.LikelihoodModel

class statsmodels.base.model.LikelihoodModel(endog, exog=None, **kwargs)[source]

Likelihood model is a subclass of Model.

__init__(endog, exog=None, **kwargs)[source]

Methods

__init__(endog[, exog])
fit([start_params, method, maxiter, ...]) Fit method for likelihood based models
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 (possibly re-initialize) a Model instance.
loglike(params) Log-likelihood of model.
predict(params[, exog]) After a model has been fit predict returns the fitted values.
score(params) Score vector of model.

Attributes

endog_names
exog_names