4.1.7.2.4. statsmodels.base.model.LikelihoodModel¶
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class
statsmodels.base.model.LikelihoodModel(endog, exog=None, **kwargs)[source]¶ Likelihood model is a subclass of Model.
4.1.7.2.4.1. Methods¶
__init__(endog[, exog]) |
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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. |