statsmodels.sandbox.tsa.fftarma.ArmaFft.acf2spdfreq ArmaFft.acf2spdfreq(acovf, nfreq=100, w=None) [source] not really a method just for comparison, not efficient for large n or long acf this is also similarly use in tsa.stattools.periodogram with window

statsmodels.tsa.arima_model.ARIMAResults.llf static ARIMAResults.llf()

statsmodels.regression.mixed_linear_model.MixedLM.group_list MixedLM.group_list(array) [source] Returns array split into subarrays corresponding to the grouping structure.

statsmodels.regression.linear_model.RegressionResults.HC3_se static RegressionResults.HC3_se() [source] See statsmodels.RegressionResults

statsmodels.sandbox.distributions.transformed.LogTransf_gen.logpdf LogTransf_gen.logpdf(x, *args, **kwds) Log of the probability density function at x of the given RV. This uses a more numerically accurate calculation if available. Parameters: x : array_like quantiles arg1, arg2, arg3,... : array_like The shape parameter(s) for the distribution (see docstring of the instance object for more information) loc : array_like, optional location parameter (default=0) scale : array_like, opti

statsmodels.miscmodels.count.PoissonOffsetGMLE.initialize PoissonOffsetGMLE.initialize()

statsmodels.stats.sandwich_covariance.cov_hc0 statsmodels.stats.sandwich_covariance.cov_hc0(results) [source] See statsmodels.RegressionResults

statsmodels.discrete.discrete_model.Probit.information Probit.information(params) Fisher information matrix of model Returns -Hessian of loglike evaluated at params.

statsmodels.duration.hazard_regression.PHRegResults.tvalues static PHRegResults.tvalues() Return the t-statistic for a given parameter estimate.

statsmodels.genmod.generalized_estimating_equations.GEEResults.pvalues static GEEResults.pvalues()