statsmodels.base.model.LikelihoodModel

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

Likelihood model is a subclass of Model.

Attributes

endog_names

Names of endogenous variables.

exog_names

Names of exogenous variables.

Methods

fit([start_params, method, maxiter, …])	Fit method for likelihood based models
from_formula(formula, data[, subset, drop_cols])	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.

Methods

fit([start_params, method, maxiter, …])	Fit method for likelihood based models
from_formula(formula, data[, subset, drop_cols])	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.

Properties

endog_names	Names of endogenous variables.
exog_names	Names of exogenous variables.