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# scikits.statsmodels.discretemod.DiscreteModel

class `scikits.statsmodels.discretemod.``DiscreteModel`(endog, exog=None)

  Abstract class for discrete choice models.

  This class does not do anything itself but lays out the methods and call signature expected of child classes in addition to those of scikits.statsmodels.model.LikelihoodModel.

  Methods

  `cdf`(X) | The cumulative distribution function of the model.
  `fit`([start_params, method, maxiter, tol]) | Fit method for likelihood based models
  `hessian`(params) | The Hessian matrix of the model
  `information`(params) | Fisher information matrix of model
  `initialize`() | Initialize is called by
  `loglike`(params) | Log-likelihood of model.
  `pdf`(X) | The probability density (mass) function of the model.
  `predict`(design) | After a model has been fit predict returns the fitted values.
  `score`(params) | Score vector of model.

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