Login Register

Logit.information()

statsmodels.discrete.discrete_model.Logit.information

Logit.information(params)

Fisher information matrix of model

Returns -Hessian of loglike evaluated at params.

Links:

http://statsmodels.sourceforge.net/stable/generated/statsmodels.discrete.discrete_model.Logit.information.html

doc_statsmodels

2017-01-18 16:11:39

Comments

Leave a Comment

Please login to continue.

Popular Articles

Logit.jac() statsmodels.discrete.discrete_model.Logit.jac Logit.jac(*args, **kwds) jac is deprecated, use score_obs instead! Use score_obs method. jac will be

Logit.initialize() statsmodels.discrete.discrete_model.Logit.initialize Logit.initialize() Initialize is called by statsmodels.model.LikelihoodModel.__init__ and sho

Logit.predict() statsmodels.discrete.discrete_model.Logit.predict Logit.predict(params, exog=None, linear=False) Predict response variable of a model given exogen

Logit.inverse() statsmodels.genmod.families.links.Logit.inverse Logit.inverse(z) [source] Inverse of the logit transform Parameters: z : array-like The value of

Logit.hessian() statsmodels.discrete.discrete_model.Logit.hessian Logit.hessian(params) [source] Logit model Hessian matrix of the log-likelihood Parameters: par