Login Register

DiscreteModel.cdf()

statsmodels.discrete.discrete_model.DiscreteModel.cdf

DiscreteModel.cdf(X) [source]: The cumulative distribution function of the model.

Links:

http://statsmodels.sourceforge.net/stable/generated/statsmodels.discrete.discrete_model.DiscreteModel.cdf.html

doc_statsmodels

2025-01-10 15:47:30

Comments

Leave a Comment

Please login to continue.

Popular Articles

DiscreteModel.loglike() statsmodels.discrete.discrete_model.DiscreteModel.loglike DiscreteModel.loglike(params) Log-likelihood of model.

DiscreteModel.initialize() statsmodels.discrete.discrete_model.DiscreteModel.initialize DiscreteModel.initialize() [source] Initialize is called by statsmodels.model.Likelih

DiscreteModel.pdf() statsmodels.discrete.discrete_model.DiscreteModel.pdf DiscreteModel.pdf(X) [source] The probability density (mass) function of the model.

DiscreteModel.fit() statsmodels.discrete.discrete_model.DiscreteModel.fit DiscreteModel.fit(start_params=None, method='newton', maxiter=35, full_output=1, disp=1, callb

DiscreteModel.score() statsmodels.discrete.discrete_model.DiscreteModel.score DiscreteModel.score(params) Score vector of model. The gradient of logL with respect to ea