statsmodels.discrete.discrete_model.MultinomialModel¶
-
class
statsmodels.discrete.discrete_model.
MultinomialModel
(endog, exog, **kwargs)[source]¶ Methods
cdf
(X)The cumulative distribution function of the model.
cov_params_func_l1
(likelihood_model, xopt, …)Computes cov_params on a reduced parameter space corresponding to the nonzero parameters resulting from the l1 regularized fit.
fit
([start_params, method, maxiter, …])Fit the model using maximum likelihood.
fit_regularized
([start_params, method, …])Fit the model using a regularized maximum likelihood.
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.
Preprocesses the data for MNLogit.
loglike
(params)Log-likelihood of model.
pdf
(X)The probability density (mass) function of the model.
predict
(params[, exog, linear])Predict response variable of a model given exogenous variables.
score
(params)Score vector of model.
Properties
Names of endogenous variables.
Names of exogenous variables.