static RegressionResults.cov_HC0()

statsmodels.regression.linear_model.RegressionResults.cov_HC0 static RegressionResults.cov_HC0() [source] See statsmodels.RegressionResults

DynamicVAR.plot_forecast()

statsmodels.tsa.vector_ar.dynamic.DynamicVAR.plot_forecast DynamicVAR.plot_forecast(steps=1, figsize=(10, 10)) [source] Plot h-step ahead forecasts against actual realizations of time series. Note that forecasts are lined up with their respective realizations. Parameters: steps : :

static MultinomialResults.tvalues()

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

VARResults.get_eq_index()

statsmodels.tsa.vector_ar.var_model.VARResults.get_eq_index VARResults.get_eq_index(name) Return integer position of requested equation name

static VARResults.info_criteria()

statsmodels.tsa.vector_ar.var_model.VARResults.info_criteria static VARResults.info_criteria() [source] information criteria for lagorder selection

static IVRegressionResults.ssr()

statsmodels.sandbox.regression.gmm.IVRegressionResults.ssr static IVRegressionResults.ssr()

StataWriter.write_file()

statsmodels.iolib.foreign.StataWriter.write_file StataWriter.write_file() [source]

static ARMAResults.resid()

statsmodels.tsa.arima_model.ARMAResults.resid static ARMAResults.resid() [source]

static RegressionResults.nobs()

statsmodels.regression.linear_model.RegressionResults.nobs static RegressionResults.nobs() [source]

static OLSResults.bse()

statsmodels.regression.linear_model.OLSResults.bse static OLSResults.bse()