statsmodels.discrete.discrete_model.LogitResults.tvalues static LogitResults.tvalues() Return the t-statistic for a given parameter estimate.

statsmodels.iolib.table.SimpleTable.pad SimpleTable.pad(s, width, align) [source] DEPRECATED: just use the pad function

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

statsmodels.sandbox.regression.gmm.IVGMMResults.fittedvalues static IVGMMResults.fittedvalues() [source]

statsmodels.stats.moment_helpers.mnc2mvsk statsmodels.stats.moment_helpers.mnc2mvsk(args) [source] convert central moments to mean, variance, skew, kurtosis

statsmodels.discrete.discrete_model.NegativeBinomialResults.llr_pvalue static NegativeBinomialResults.llr_pvalue()

statsmodels.discrete.discrete_model.DiscreteResults.tvalues static DiscreteResults.tvalues() Return the t-statistic for a given parameter estimate.

statsmodels.stats.outliers_influence.OLSInfluence.cov_ratio static OLSInfluence.cov_ratio() [source] (cached attribute) covariance ratio between LOOO and original This uses determinant of the estimate of the parameter covariance from leave-one-out estimates. requires leave one out loop for observations

statsmodels.sandbox.stats.multicomp.GroupsStats.groupvarwithin GroupsStats.groupvarwithin() [source]

statsmodels.duration.hazard_regression.PHRegResults.baseline_cumulative_hazard_function static PHRegResults.baseline_cumulative_hazard_function() [source] A list (corresponding to the strata) containing function objects that calculate the cumulative hazard function.