statsmodels.discrete.discrete_model.LogitResults.llnull static LogitResults.llnull()

statsmodels.discrete.discrete_model.LogitResults.llf static LogitResults.llf()

statsmodels.discrete.discrete_model.LogitResults.fittedvalues static LogitResults.fittedvalues()

statsmodels.discrete.discrete_model.LogitResults.bic static LogitResults.bic()

statsmodels.discrete.discrete_model.LogitResults.bse static LogitResults.bse()

statsmodels.discrete.discrete_model.LogitResults.aic static LogitResults.aic()

statsmodels.nonparametric.kde.KDEUnivariate.sf static KDEUnivariate.sf() [source] Returns the survival function evaluated at the support. Notes Will not work if fit has not been called.

statsmodels.nonparametric.kde.KDEUnivariate.icdf static KDEUnivariate.icdf() [source] Inverse Cumulative Distribution (Quantile) Function Notes Will not work if fit has not been called. Uses scipy.stats.mstats.mquantiles.

statsmodels.nonparametric.kde.KDEUnivariate.entropy static KDEUnivariate.entropy() [source] Returns the differential entropy evaluated at the support Notes Will not work if fit has not been called. 1e-12 is added to each probability to ensure that log(0) is not called.

statsmodels.nonparametric.kde.KDEUnivariate.cumhazard static KDEUnivariate.cumhazard() [source] Returns the hazard function evaluated at the support. Notes Will not work if fit has not been called.