Statsmodels 官方文档

Distributions

  • ACSkewT_gen.cdf()
  • ACSkewT_gen.entropy()
  • ACSkewT_gen.expect()
  • ACSkewT_gen.fit()
  • ACSkewT_gen.fit_loc_scale()
  • ACSkewT_gen.freeze()
  • ACSkewT_gen.interval()
  • ACSkewT_gen.isf()
  • ACSkewT_gen.logcdf()
  • ACSkewT_gen.logpdf()
  • ACSkewT_gen.logsf()
  • ACSkewT_gen.mean()
  • ACSkewT_gen.median()
  • ACSkewT_gen.moment()
  • ACSkewT_gen.nnlf()
  • ACSkewT_gen.pdf()
  • ACSkewT_gen.ppf()
  • ACSkewT_gen.rvs()
  • ACSkewT_gen.sf()
  • ACSkewT_gen.stats()
  • ACSkewT_gen.std()
  • ACSkewT_gen.var()
  • distributions.empirical_distribution.ECDF()
  • distributions.empirical_distribution.monotone_fn_inverter()
  • distributions.empirical_distribution.StepFunction()
  • ExpTransf_gen.cdf()
  • ExpTransf_gen.entropy()
  • ExpTransf_gen.expect()
  • ExpTransf_gen.fit()
  • ExpTransf_gen.fit_loc_scale()
  • ExpTransf_gen.freeze()
  • ExpTransf_gen.interval()
  • ExpTransf_gen.isf()
  • ExpTransf_gen.logcdf()
  • ExpTransf_gen.logpdf()
  • ExpTransf_gen.logsf()
  • ExpTransf_gen.mean()
  • ExpTransf_gen.median()
  • ExpTransf_gen.moment()
  • ExpTransf_gen.nnlf()
  • ExpTransf_gen.pdf()
  • ExpTransf_gen.ppf()
  • ExpTransf_gen.rvs()
  • ExpTransf_gen.sf()
  • ExpTransf_gen.stats()
  • ExpTransf_gen.std()
  • ExpTransf_gen.var()
  • LogTransf_gen.cdf()
  • LogTransf_gen.entropy()
  • LogTransf_gen.expect()
  • LogTransf_gen.fit()
  • LogTransf_gen.fit_loc_scale()
  • LogTransf_gen.freeze()
  • LogTransf_gen.interval()
  • LogTransf_gen.isf()
  • LogTransf_gen.logcdf()
  • LogTransf_gen.logpdf()
  • LogTransf_gen.logsf()
  • LogTransf_gen.mean()
  • LogTransf_gen.median()
  • LogTransf_gen.moment()
  • LogTransf_gen.nnlf()
  • LogTransf_gen.pdf()
  • LogTransf_gen.ppf()
  • LogTransf_gen.rvs()
  • LogTransf_gen.sf()
  • LogTransf_gen.stats()
  • LogTransf_gen.std()
  • LogTransf_gen.var()
  • NormExpan_gen.cdf()
  • NormExpan_gen.entropy()
  • NormExpan_gen.expect()
  • NormExpan_gen.fit()
  • NormExpan_gen.fit_loc_scale()
  • NormExpan_gen.freeze()
  • NormExpan_gen.interval()
  • NormExpan_gen.isf()
  • NormExpan_gen.logcdf()
  • NormExpan_gen.logpdf()
  • NormExpan_gen.logsf()
  • NormExpan_gen.mean()
  • NormExpan_gen.median()
  • NormExpan_gen.moment()
  • NormExpan_gen.nnlf()
  • NormExpan_gen.pdf()
  • NormExpan_gen.ppf()
  • NormExpan_gen.rvs()
  • NormExpan_gen.sf()
  • NormExpan_gen.stats()
  • NormExpan_gen.std()
  • NormExpan_gen.var()
  • sandbox.distributions.extras.ACSkewT_gen
  • sandbox.distributions.extras.mvnormcdf()
  • sandbox.distributions.extras.mvstdnormcdf()
  • sandbox.distributions.extras.NormExpan_gen()
  • sandbox.distributions.extras.pdf_moments()
  • sandbox.distributions.extras.pdf_moments_st()
  • sandbox.distributions.extras.pdf_mvsk()
  • sandbox.distributions.extras.skewnorm2
  • sandbox.distributions.extras.SkewNorm2_gen()
  • sandbox.distributions.extras.SkewNorm_gen
  • sandbox.distributions.transformed.absnormalg
  • sandbox.distributions.transformed.ExpTransf_gen()
  • sandbox.distributions.transformed.invdnormalg
  • sandbox.distributions.transformed.loggammaexpg
  • sandbox.distributions.transformed.lognormalg
  • sandbox.distributions.transformed.LogTransf_gen()
  • sandbox.distributions.transformed.negsquarenormalg
  • sandbox.distributions.transformed.SquareFunc
  • sandbox.distributions.transformed.squarenormalg
  • sandbox.distributions.transformed.squaretg
  • sandbox.distributions.transformed.TransfTwo_gen()
  • sandbox.distributions.transformed.Transf_gen()
  • SkewNorm2_gen.cdf()
  • SkewNorm2_gen.entropy()
  • SkewNorm2_gen.expect()
  • SkewNorm2_gen.fit()
  • SkewNorm2_gen.fit_loc_scale()
  • SkewNorm2_gen.freeze()
  • SkewNorm2_gen.interval()
  • SkewNorm2_gen.isf()
  • SkewNorm2_gen.logcdf()
  • SkewNorm2_gen.logpdf()
  • SkewNorm2_gen.logsf()
  • SkewNorm2_gen.mean()
  • SkewNorm2_gen.median()
  • SkewNorm2_gen.moment()
  • SkewNorm2_gen.nnlf()
  • SkewNorm2_gen.pdf()
  • SkewNorm2_gen.ppf()
  • SkewNorm2_gen.rvs()
  • SkewNorm2_gen.sf()
  • SkewNorm2_gen.stats()
  • SkewNorm2_gen.std()
  • SkewNorm2_gen.var()
  • SkewNorm_gen.cdf()
  • SkewNorm_gen.entropy()
  • SkewNorm_gen.expect()
  • SkewNorm_gen.fit()
  • SkewNorm_gen.fit_loc_scale()
  • SkewNorm_gen.freeze()
  • SkewNorm_gen.interval()
  • SkewNorm_gen.isf()
  • SkewNorm_gen.logcdf()
  • SkewNorm_gen.logpdf()
  • SkewNorm_gen.logsf()
  • SkewNorm_gen.mean()
  • SkewNorm_gen.median()
  • SkewNorm_gen.moment()
  • SkewNorm_gen.nnlf()
  • SkewNorm_gen.pdf()
  • SkewNorm_gen.ppf()
  • SkewNorm_gen.rvs()
  • SkewNorm_gen.sf()
  • SkewNorm_gen.stats()
  • SkewNorm_gen.std()
  • SkewNorm_gen.var()
  • SquareFunc.derivminus()
  • SquareFunc.derivplus()
  • SquareFunc.inverseminus()
  • SquareFunc.inverseplus()
  • SquareFunc.squarefunc()
  • TransfTwo_gen.cdf()
  • TransfTwo_gen.entropy()
  • TransfTwo_gen.expect()
  • TransfTwo_gen.fit()
  • TransfTwo_gen.fit_loc_scale()
  • TransfTwo_gen.freeze()
  • TransfTwo_gen.interval()
  • TransfTwo_gen.isf()
  • TransfTwo_gen.logcdf()
  • TransfTwo_gen.logpdf()
  • TransfTwo_gen.logsf()
  • TransfTwo_gen.mean()
  • TransfTwo_gen.median()
  • TransfTwo_gen.moment()
  • TransfTwo_gen.nnlf()
  • TransfTwo_gen.pdf()
  • TransfTwo_gen.ppf()
  • TransfTwo_gen.rvs()
  • TransfTwo_gen.sf()
  • TransfTwo_gen.stats()
  • TransfTwo_gen.std()
  • TransfTwo_gen.var()
  • Transf_gen.cdf()
  • Transf_gen.entropy()
  • Transf_gen.expect()
  • Transf_gen.fit()
  • Transf_gen.fit_loc_scale()
  • Transf_gen.freeze()
  • Transf_gen.interval()
  • Transf_gen.isf()
  • Transf_gen.logcdf()
  • Transf_gen.logpdf()
  • Transf_gen.logsf()
  • Transf_gen.mean()
  • Transf_gen.median()
  • Transf_gen.moment()
  • Transf_gen.nnlf()
  • Transf_gen.pdf()
  • Transf_gen.ppf()
  • Transf_gen.rvs()
  • Transf_gen.sf()
  • Transf_gen.stats()
  • Transf_gen.std()
  • Transf_gen.var()
  • Robust Linear Models

  • AndrewWave.psi()
  • AndrewWave.psi_deriv()
  • AndrewWave.rho()
  • AndrewWave.weights()
  • Hampel.psi()
  • Hampel.psi_deriv()
  • Hampel.rho()
  • Hampel.weights()
  • HuberT.psi()
  • HuberT.psi_deriv()
  • HuberT.rho()
  • HuberT.weights()
  • LeastSquares.psi()
  • LeastSquares.psi_deriv()
  • LeastSquares.rho()
  • LeastSquares.weights()
  • RamsayE.psi()
  • RamsayE.psi_deriv()
  • RamsayE.rho()
  • RamsayE.weights()
  • RLM.deviance()
  • RLM.fit()
  • RLM.from_formula()
  • RLM.hessian()
  • RLM.information()
  • RLM.initialize()
  • RLM.loglike()
  • RLM.predict()
  • RLM.score()
  • RLMResults.bcov_scaled()
  • RLMResults.bcov_unscaled()
  • RLMResults.bse()
  • RLMResults.chisq()
  • RLMResults.conf_int()
  • RLMResults.cov_params()
  • RLMResults.fittedvalues()
  • RLMResults.f_test()
  • RLMResults.initialize()
  • RLMResults.llf()
  • RLMResults.load()
  • RLMResults.normalized_cov_params()
  • RLMResults.predict()
  • RLMResults.pvalues()
  • RLMResults.remove_data()
  • RLMResults.resid()
  • RLMResults.save()
  • RLMResults.sresid()
  • RLMResults.summary()
  • RLMResults.summary2()
  • RLMResults.tvalues()
  • RLMResults.t_test()
  • RLMResults.wald_test()
  • RLMResults.wald_test_terms()
  • RLMResults.weights()
  • robust.norms.AndrewWave()
  • robust.norms.estimate_location()
  • robust.norms.Hampel()
  • robust.norms.HuberT()
  • robust.norms.LeastSquares
  • robust.norms.RamsayE()
  • robust.norms.RobustNorm
  • robust.norms.TrimmedMean()
  • robust.norms.TukeyBiweight()
  • robust.robust_linear_model.RLM()
  • robust.robust_linear_model.RLMResults()
  • robust.scale.Huber()
  • robust.scale.HuberScale()
  • robust.scale.hubers_scale
  • robust.scale.mad()
  • RobustNorm.psi()
  • RobustNorm.psi_deriv()
  • RobustNorm.rho()
  • RobustNorm.weights()
  • TrimmedMean.psi()
  • TrimmedMean.psi_deriv()
  • TrimmedMean.rho()
  • TrimmedMean.weights()
  • TukeyBiweight.psi()
  • TukeyBiweight.psi_deriv()
  • TukeyBiweight.rho()
  • TukeyBiweight.weights()
  • Time Series analysis

  • AR.fit()
  • AR.from_formula()
  • AR.hessian()
  • AR.information()
  • AR.initialize()
  • AR.loglike()
  • AR.predict()
  • AR.score()
  • AR.select_order()
  • ARIMA.fit()
  • ARIMA.from_formula()
  • ARIMA.geterrors()
  • ARIMA.hessian()
  • ARIMA.information()
  • ARIMA.initialize()
  • ARIMA.loglike()
  • ARIMA.loglike_css()
  • ARIMA.loglike_kalman()
  • ARIMA.predict()
  • ARIMA.score()
  • ARIMAResults.aic()
  • ARIMAResults.arfreq()
  • ARIMAResults.arparams()
  • ARIMAResults.arroots()
  • ARIMAResults.bic()
  • ARIMAResults.bse()
  • ARIMAResults.conf_int()
  • ARIMAResults.cov_params()
  • ARIMAResults.fittedvalues()
  • ARIMAResults.forecast()
  • ARIMAResults.f_test()
  • ARIMAResults.hqic()
  • ARIMAResults.initialize()
  • ARIMAResults.llf()
  • ARIMAResults.load()
  • ARIMAResults.mafreq()
  • ARIMAResults.maparams()
  • ARIMAResults.maroots()
  • ARIMAResults.normalized_cov_params()
  • ARIMAResults.plot_predict()
  • ARIMAResults.predict()
  • ARIMAResults.pvalues()
  • ARIMAResults.remove_data()
  • ARIMAResults.resid()
  • ARIMAResults.save()
  • ARIMAResults.summary()
  • ARIMAResults.summary2()
  • ARIMAResults.tvalues()
  • ARIMAResults.t_test()
  • ARIMAResults.wald_test()
  • ARIMAResults.wald_test_terms()
  • ARMA.fit()
  • ARMA.from_formula()
  • ARMA.geterrors()
  • ARMA.hessian()
  • ARMA.information()
  • ARMA.initialize()
  • ARMA.loglike()
  • ARMA.loglike_css()
  • ARMA.loglike_kalman()
  • ARMA.predict()
  • ARMA.score()
  • ArmaFft.acf()
  • ArmaFft.acf2spdfreq()
  • ArmaFft.acovf()
  • ArmaFft.arma2ar()
  • ArmaFft.arma2ma()
  • ArmaFft.fftar()
  • ArmaFft.fftarma()
  • ArmaFft.fftma()
  • ArmaFft.filter()
  • ArmaFft.filter2()
  • ArmaFft.from_coeffs()
  • ArmaFft.from_estimation()
  • ArmaFft.generate_sample()
  • ArmaFft.impulse_response()
  • ArmaFft.invertroots()
  • ArmaFft.invpowerspd()
  • ArmaFft.pacf()
  • ArmaFft.pad()
  • ArmaFft.padarr()
  • ArmaFft.periodogram()
  • ArmaFft.plot4()
  • ArmaFft.spd()
  • ArmaFft.spddirect()
  • ArmaFft.spdmapoly()
  • ArmaFft.spdpoly()
  • ArmaFft.spdroots()
  • ArmaFft.spdroots_()
  • ArmaFft.spdshift()
  • ArmaProcess.acf()
  • ArmaProcess.acovf()
  • ArmaProcess.arma2ar()
  • ArmaProcess.arma2ma()
  • ArmaProcess.from_coeffs()
  • ArmaProcess.from_estimation()
  • ArmaProcess.generate_sample()
  • ArmaProcess.impulse_response()
  • ArmaProcess.invertroots()
  • ArmaProcess.pacf()
  • ArmaProcess.periodogram()
  • ARMAResults.aic()
  • ARMAResults.arfreq()
  • ARMAResults.arparams()
  • ARMAResults.arroots()
  • ARMAResults.bic()
  • ARMAResults.bse()
  • ARMAResults.conf_int()
  • ARMAResults.cov_params()
  • ARMAResults.fittedvalues()
  • ARMAResults.forecast()
  • ARMAResults.f_test()
  • ARMAResults.hqic()
  • ARMAResults.initialize()
  • ARMAResults.llf()
  • ARMAResults.load()
  • ARMAResults.mafreq()
  • ARMAResults.maparams()
  • ARMAResults.maroots()
  • ARMAResults.normalized_cov_params()
  • ARMAResults.plot_predict()
  • ARMAResults.predict()
  • ARMAResults.pvalues()
  • ARMAResults.remove_data()
  • ARMAResults.resid()
  • ARMAResults.save()
  • ARMAResults.summary()
  • ARMAResults.summary2()
  • ARMAResults.tvalues()
  • ARMAResults.t_test()
  • ARMAResults.wald_test()
  • ARMAResults.wald_test_terms()
  • ARResults.aic()
  • ARResults.bic()
  • ARResults.bse()
  • ARResults.conf_int()
  • ARResults.cov_params()
  • ARResults.fittedvalues()
  • ARResults.fpe()
  • ARResults.f_test()
  • ARResults.hqic()
  • ARResults.initialize()
  • ARResults.llf()
  • ARResults.load()
  • ARResults.normalized_cov_params()
  • ARResults.predict()
  • ARResults.pvalues()
  • ARResults.remove_data()
  • ARResults.resid()
  • ARResults.roots()
  • ARResults.save()
  • ARResults.scale()
  • ARResults.sigma2()
  • ARResults.summary()
  • ARResults.tvalues()
  • ARResults.t_test()
  • ARResults.wald_test()
  • ARResults.wald_test_terms()
  • DynamicVAR.coefs()
  • DynamicVAR.equations()
  • DynamicVAR.forecast()
  • DynamicVAR.plot_forecast()
  • DynamicVAR.r2()
  • DynamicVAR.resid()
  • DynamicVAR.T()
  • FEVD.cov()
  • FEVD.plot()
  • FEVD.summary()
  • IRAnalysis.cov()
  • IRAnalysis.cum_effect_cov()
  • IRAnalysis.cum_effect_stderr()
  • IRAnalysis.cum_errband_mc()
  • IRAnalysis.errband_mc()
  • IRAnalysis.err_band_sz1()
  • IRAnalysis.err_band_sz2()
  • IRAnalysis.err_band_sz3()
  • IRAnalysis.fevd_table()
  • IRAnalysis.G()
  • IRAnalysis.H()
  • IRAnalysis.lr_effect_cov()
  • IRAnalysis.lr_effect_stderr()
  • IRAnalysis.plot()
  • IRAnalysis.plot_cum_effects()
  • IRAnalysis.stderr()
  • KalmanFilter.geterrors()
  • KalmanFilter.loglike()
  • KalmanFilter.R()
  • KalmanFilter.T()
  • KalmanFilter.Z()
  • MarkovAutoregression.filter()
  • MarkovAutoregression.fit()
  • MarkovAutoregression.from_formula()
  • MarkovAutoregression.hessian()
  • MarkovAutoregression.information()
  • MarkovAutoregression.initialize()
  • MarkovAutoregression.initialize_known()
  • MarkovAutoregression.initialize_steady_state()
  • MarkovAutoregression.initial_probabilities()
  • MarkovAutoregression.loglike()
  • MarkovAutoregression.loglikeobs()
  • MarkovAutoregression.predict()
  • MarkovAutoregression.predict_conditional()
  • MarkovAutoregression.regime_transition_matrix()
  • MarkovAutoregression.score()
  • MarkovAutoregression.score_obs()
  • MarkovAutoregression.smooth()
  • MarkovAutoregression.transform_params()
  • MarkovAutoregression.untransform_params()
  • MarkovRegression.filter()
  • MarkovRegression.fit()
  • MarkovRegression.from_formula()
  • MarkovRegression.hessian()
  • MarkovRegression.information()
  • MarkovRegression.initialize()
  • MarkovRegression.initialize_known()
  • MarkovRegression.initialize_steady_state()
  • MarkovRegression.initial_probabilities()
  • MarkovRegression.loglike()
  • MarkovRegression.loglikeobs()
  • MarkovRegression.predict()
  • MarkovRegression.predict_conditional()
  • MarkovRegression.regime_transition_matrix()
  • MarkovRegression.score()
  • MarkovRegression.score_obs()
  • MarkovRegression.smooth()
  • MarkovRegression.transform_params()
  • MarkovRegression.untransform_params()
  • sandbox.tsa.fftarma.ArmaFft()
  • tsa.arima_model.ARIMA()
  • tsa.arima_model.ARIMAResults()
  • tsa.arima_model.ARMA()
  • tsa.arima_model.ARMAResults()
  • tsa.arima_process.ar2arma()
  • tsa.arima_process.arma2ar()
  • tsa.arima_process.arma2ma()
  • tsa.arima_process.ArmaProcess()
  • tsa.arima_process.arma_acf()
  • tsa.arima_process.arma_acovf()
  • tsa.arima_process.arma_generate_sample()
  • tsa.arima_process.arma_impulse_response()
  • tsa.arima_process.arma_pacf()
  • tsa.arima_process.arma_periodogram()
  • tsa.arima_process.deconvolve()
  • tsa.arima_process.index2lpol()
  • tsa.arima_process.lpol2index()
  • tsa.arima_process.lpol_fiar()
  • tsa.arima_process.lpol_fima()
  • tsa.arima_process.lpol_sdiff()
  • tsa.ar_model.AR()
  • tsa.ar_model.ARResults()
  • tsa.filters.bk_filter.bkfilter()
  • tsa.filters.cf_filter.cffilter()
  • tsa.filters.filtertools.convolution_filter()
  • tsa.filters.filtertools.fftconvolve3()
  • tsa.filters.filtertools.fftconvolveinv()
  • tsa.filters.filtertools.miso_lfilter()
  • tsa.filters.filtertools.recursive_filter()
  • tsa.filters.hp_filter.hpfilter()
  • tsa.interp.denton.dentonm()
  • tsa.kalmanf.kalmanfilter.KalmanFilter
  • tsa.regime_switching.markov_autoregression.MarkovAutoregression()
  • tsa.regime_switching.markov_regression.MarkovRegression()
  • tsa.seasonal.seasonal_decompose()
  • tsa.stattools.acf()
  • tsa.stattools.acovf()
  • tsa.stattools.adfuller()
  • tsa.stattools.arma_order_select_ic()
  • tsa.stattools.bds()
  • tsa.stattools.ccf()
  • tsa.stattools.ccovf()
  • tsa.stattools.coint()
  • tsa.stattools.grangercausalitytests()
  • tsa.stattools.kpss()
  • tsa.stattools.levinson_durbin()
  • tsa.stattools.pacf()
  • tsa.stattools.pacf_ols()
  • tsa.stattools.pacf_yw()
  • tsa.stattools.periodogram()
  • tsa.stattools.q_stat()
  • tsa.tsatools.add_trend()
  • tsa.tsatools.detrend()
  • tsa.tsatools.lagmat()
  • tsa.tsatools.lagmat2ds()
  • tsa.varma_process.VarmaPoly()
  • tsa.vector_ar.dynamic.DynamicVAR()
  • tsa.vector_ar.irf.IRAnalysis()
  • tsa.vector_ar.var_model.FEVD()
  • tsa.vector_ar.var_model.VAR()
  • tsa.vector_ar.var_model.VARProcess()
  • tsa.vector_ar.var_model.VARResults()
  • tsa.x13.x13_arima_analysis()
  • tsa.x13.x13_arima_select_order()
  • VAR.fit()
  • VAR.from_formula()
  • VAR.hessian()
  • VAR.information()
  • VAR.initialize()
  • VAR.loglike()
  • VAR.predict()
  • VAR.score()
  • VAR.select_order()
  • VarmaPoly.getisinvertible()
  • VarmaPoly.getisstationary()
  • VarmaPoly.hstack()
  • VarmaPoly.hstackarma_minus1()
  • VarmaPoly.reduceform()
  • VarmaPoly.stacksquare()
  • VarmaPoly.vstack()
  • VarmaPoly.vstackarma_minus1()
  • VARProcess.acf()
  • VARProcess.acorr()
  • VARProcess.forecast()
  • VARProcess.forecast_cov()
  • VARProcess.forecast_interval()
  • VARProcess.get_eq_index()
  • VARProcess.is_stable()
  • VARProcess.long_run_effects()
  • VARProcess.ma_rep()
  • VARProcess.mean()
  • VARProcess.mse()
  • VARProcess.orth_ma_rep()
  • VARProcess.plotsim()
  • VARProcess.plot_acorr()
  • VARResults.acf()
  • VARResults.acorr()
  • VARResults.bse()
  • VARResults.cov_params()
  • VARResults.cov_ybar()
  • VARResults.detomega()
  • VARResults.fevd()
  • VARResults.fittedvalues()
  • VARResults.forecast()
  • VARResults.forecast_cov()
  • VARResults.forecast_interval()
  • VARResults.get_eq_index()
  • VARResults.info_criteria()
  • VARResults.irf()
  • VARResults.irf_errband_mc()
  • VARResults.irf_resim()
  • VARResults.is_stable()
  • VARResults.llf()
  • VARResults.long_run_effects()
  • VARResults.ma_rep()
  • VARResults.mean()
  • VARResults.mse()
  • VARResults.orth_ma_rep()
  • VARResults.plot()
  • VARResults.plotsim()
  • VARResults.plot_acorr()
  • VARResults.plot_forecast()
  • VARResults.plot_sample_acorr()
  • VARResults.pvalues()
  • VARResults.reorder()
  • VARResults.resid()
  • VARResults.resid_acorr()
  • VARResults.resid_acov()
  • VARResults.resid_corr()
  • VARResults.roots()
  • VARResults.sample_acorr()
  • VARResults.sample_acov()
  • VARResults.sigma_u_mle()
  • VARResults.stderr()
  • VARResults.summary()
  • VARResults.test_causality()
  • VARResults.test_normality()
  • VARResults.test_whiteness()
  • VARResults.tvalues()
  • MarkovAutoregression.filter()
  • MarkovAutoregression.fit()
  • MarkovAutoregression.from_formula()
  • MarkovAutoregression.hessian()
  • MarkovAutoregression.information()
  • MarkovAutoregression.initialize()
  • MarkovAutoregression.initialize_known()
  • MarkovAutoregression.initialize_steady_state()
  • MarkovAutoregression.initial_probabilities()
  • MarkovAutoregression.loglike()
  • MarkovAutoregression.loglikeobs()
  • MarkovAutoregression.predict()
  • MarkovAutoregression.predict_conditional()
  • MarkovAutoregression.regime_transition_matrix()
  • MarkovAutoregression.score()
  • MarkovAutoregression.score_obs()
  • MarkovAutoregression.smooth()
  • MarkovAutoregression.transform_params()
  • MarkovAutoregression.untransform_params()
  • MarkovRegression.from_formula()
  • MarkovRegression.information()
  • MarkovRegression.initialize_known()
  • MarkovRegression.initialize_steady_state()
  • MarkovRegression.initial_probabilities()
  • MarkovRegression.predict_conditional()
  • MarkovRegression.regime_transition_matrix()
  • MarkovRegression.transform_params()
  • MarkovRegression.untransform_params()
  • Generalized Estimating Equations

  • Autoregressive.covariance_matrix()
  • Autoregressive.covariance_matrix_solve()
  • Autoregressive.initialize()
  • Autoregressive.summary()
  • Autoregressive.update()
  • CovStruct.covariance_matrix()
  • CovStruct.covariance_matrix_solve()
  • CovStruct.initialize()
  • CovStruct.summary()
  • CovStruct.update()
  • Exchangeable.covariance_matrix()
  • Exchangeable.covariance_matrix_solve()
  • Exchangeable.initialize()
  • Exchangeable.summary()
  • Exchangeable.update()
  • GEE.cluster_list()
  • GEE.estimate_scale()
  • GEE.fit()
  • GEE.from_formula()
  • GEE.mean_deriv()
  • GEE.mean_deriv_exog()
  • GEE.predict()
  • GEE.update_cached_means()
  • GEEMargins.conf_int()
  • GEEMargins.get_margeff()
  • GEEMargins.pvalues()
  • GEEMargins.summary()
  • GEEMargins.summary_frame()
  • GEEMargins.tvalues()
  • GEEResults.bse()
  • GEEResults.centered_resid()
  • GEEResults.conf_int()
  • GEEResults.cov_params()
  • GEEResults.fittedvalues()
  • GEEResults.f_test()
  • GEEResults.get_margeff()
  • GEEResults.initialize()
  • GEEResults.llf()
  • GEEResults.load()
  • GEEResults.normalized_cov_params()
  • GEEResults.params_sensitivity()
  • GEEResults.plot_added_variable()
  • GEEResults.plot_ceres_residuals()
  • GEEResults.plot_isotropic_dependence()
  • GEEResults.plot_partial_residuals()
  • GEEResults.predict()
  • GEEResults.pvalues()
  • GEEResults.remove_data()
  • GEEResults.resid()
  • GEEResults.resid_anscombe()
  • GEEResults.resid_centered()
  • GEEResults.resid_centered_split()
  • GEEResults.resid_deviance()
  • GEEResults.resid_pearson()
  • GEEResults.resid_response()
  • GEEResults.resid_split()
  • GEEResults.resid_working()
  • GEEResults.save()
  • GEEResults.sensitivity_params()
  • GEEResults.split_centered_resid()
  • GEEResults.split_resid()
  • GEEResults.standard_errors()
  • GEEResults.summary()
  • GEEResults.tvalues()
  • GEEResults.t_test()
  • GEEResults.wald_test()
  • GEEResults.wald_test_terms()
  • genmod.cov_struct.Autoregressive()
  • genmod.cov_struct.CovStruct()
  • genmod.cov_struct.Exchangeable
  • genmod.cov_struct.GlobalOddsRatio()
  • genmod.cov_struct.Independence()
  • genmod.cov_struct.Nested()
  • genmod.generalized_estimating_equations.GEE()
  • genmod.generalized_estimating_equations.GEEMargins()
  • genmod.generalized_estimating_equations.GEEResults()
  • GlobalOddsRatio.covariance_matrix()
  • GlobalOddsRatio.covariance_matrix_solve()
  • GlobalOddsRatio.get_eyy()
  • GlobalOddsRatio.initialize()
  • GlobalOddsRatio.observed_crude_oddsratio()
  • GlobalOddsRatio.pooled_odds_ratio()
  • GlobalOddsRatio.summary()
  • GlobalOddsRatio.update()
  • Independence.covariance_matrix()
  • Independence.covariance_matrix_solve()
  • Independence.initialize()
  • Independence.summary()
  • Independence.update()
  • Nested.covariance_matrix()
  • Nested.covariance_matrix_solve()
  • Nested.initialize()
  • Nested.summary()
  • Nested.update()
  • GEEResults.normalized_cov_params()
  • GEEResults.params_sensitivity()
  • GEEResults.plot_added_variable()
  • GEEResults.plot_ceres_residuals()
  • GEEResults.plot_isotropic_dependence()
  • GEEResults.plot_partial_residuals()
  • GEEResults.resid_centered_split()
  • GEEResults.sensitivity_params()
  • GEEResults.split_centered_resid()
  • Regression with Discrete Dependent Variable

  • BinaryModel.cdf()
  • BinaryModel.cov_params_func_l1()
  • BinaryModel.fit()
  • BinaryModel.fit_regularized()
  • BinaryModel.from_formula()
  • BinaryModel.hessian()
  • BinaryModel.information()
  • BinaryModel.initialize()
  • BinaryModel.loglike()
  • BinaryModel.pdf()
  • BinaryModel.predict()
  • BinaryModel.score()
  • BinaryResults.aic()
  • BinaryResults.bic()
  • BinaryResults.bse()
  • BinaryResults.conf_int()
  • BinaryResults.cov_params()
  • BinaryResults.fittedvalues()
  • BinaryResults.f_test()
  • BinaryResults.get_margeff()
  • BinaryResults.initialize()
  • BinaryResults.llf()
  • BinaryResults.llnull()
  • BinaryResults.llr()
  • BinaryResults.llr_pvalue()
  • BinaryResults.load()
  • BinaryResults.normalized_cov_params()
  • BinaryResults.predict()
  • BinaryResults.pred_table()
  • BinaryResults.prsquared()
  • BinaryResults.pvalues()
  • BinaryResults.remove_data()
  • BinaryResults.resid_dev()
  • BinaryResults.resid_pearson()
  • BinaryResults.resid_response()
  • BinaryResults.save()
  • BinaryResults.summary()
  • BinaryResults.summary2()
  • BinaryResults.tvalues()
  • BinaryResults.t_test()
  • BinaryResults.wald_test()
  • BinaryResults.wald_test_terms()
  • CountModel.cdf()
  • CountModel.cov_params_func_l1()
  • CountModel.fit()
  • CountModel.fit_regularized()
  • CountModel.from_formula()
  • CountModel.hessian()
  • CountModel.information()
  • CountModel.initialize()
  • CountModel.loglike()
  • CountModel.pdf()
  • CountModel.predict()
  • CountModel.score()
  • CountResults.aic()
  • CountResults.bic()
  • CountResults.bse()
  • CountResults.conf_int()
  • CountResults.cov_params()
  • CountResults.fittedvalues()
  • CountResults.f_test()
  • CountResults.get_margeff()
  • CountResults.initialize()
  • CountResults.llf()
  • CountResults.llnull()
  • CountResults.llr()
  • CountResults.llr_pvalue()
  • CountResults.load()
  • CountResults.normalized_cov_params()
  • CountResults.predict()
  • CountResults.prsquared()
  • CountResults.pvalues()
  • CountResults.remove_data()
  • CountResults.resid()
  • CountResults.save()
  • CountResults.summary()
  • CountResults.summary2()
  • CountResults.tvalues()
  • CountResults.t_test()
  • CountResults.wald_test()
  • CountResults.wald_test_terms()
  • discrete.discrete_model.BinaryModel()
  • discrete.discrete_model.BinaryResults()
  • discrete.discrete_model.CountModel()
  • discrete.discrete_model.CountResults()
  • discrete.discrete_model.DiscreteModel()
  • discrete.discrete_model.DiscreteResults()
  • discrete.discrete_model.Logit()
  • discrete.discrete_model.LogitResults()
  • discrete.discrete_model.MNLogit()
  • discrete.discrete_model.MultinomialModel()
  • discrete.discrete_model.MultinomialResults()
  • discrete.discrete_model.NegativeBinomial()
  • discrete.discrete_model.NegativeBinomialResults()
  • discrete.discrete_model.Poisson()
  • discrete.discrete_model.Probit()
  • discrete.discrete_model.ProbitResults()
  • DiscreteModel.cdf()
  • DiscreteModel.cov_params_func_l1()
  • DiscreteModel.fit()
  • DiscreteModel.fit_regularized()
  • DiscreteModel.from_formula()
  • DiscreteModel.hessian()
  • DiscreteModel.information()
  • DiscreteModel.initialize()
  • DiscreteModel.loglike()
  • DiscreteModel.pdf()
  • DiscreteModel.predict()
  • DiscreteModel.score()
  • DiscreteResults.aic()
  • DiscreteResults.bic()
  • DiscreteResults.bse()
  • DiscreteResults.conf_int()
  • DiscreteResults.cov_params()
  • DiscreteResults.fittedvalues()
  • DiscreteResults.f_test()
  • DiscreteResults.get_margeff()
  • DiscreteResults.initialize()
  • DiscreteResults.llf()
  • DiscreteResults.llnull()
  • DiscreteResults.llr()
  • DiscreteResults.llr_pvalue()
  • DiscreteResults.load()
  • DiscreteResults.normalized_cov_params()
  • DiscreteResults.predict()
  • DiscreteResults.prsquared()
  • DiscreteResults.pvalues()
  • DiscreteResults.remove_data()
  • DiscreteResults.save()
  • DiscreteResults.summary()
  • DiscreteResults.summary2()
  • DiscreteResults.tvalues()
  • DiscreteResults.t_test()
  • DiscreteResults.wald_test()
  • DiscreteResults.wald_test_terms()
  • Logit.cdf()
  • Logit.cov_params_func_l1()
  • Logit.fit()
  • Logit.fit_regularized()
  • Logit.from_formula()
  • Logit.hessian()
  • Logit.information()
  • Logit.initialize()
  • Logit.jac()
  • Logit.loglike()
  • Logit.loglikeobs()
  • Logit.pdf()
  • Logit.predict()
  • Logit.score()
  • Logit.score_obs()
  • LogitResults.aic()
  • LogitResults.bic()
  • LogitResults.bse()
  • LogitResults.conf_int()
  • LogitResults.cov_params()
  • LogitResults.fittedvalues()
  • LogitResults.f_test()
  • LogitResults.get_margeff()
  • LogitResults.initialize()
  • LogitResults.llf()
  • LogitResults.llnull()
  • LogitResults.llr()
  • LogitResults.llr_pvalue()
  • LogitResults.load()
  • LogitResults.normalized_cov_params()
  • LogitResults.predict()
  • LogitResults.pred_table()
  • LogitResults.prsquared()
  • LogitResults.pvalues()
  • LogitResults.remove_data()
  • LogitResults.resid_dev()
  • LogitResults.resid_generalized()
  • LogitResults.resid_pearson()
  • LogitResults.resid_response()
  • LogitResults.save()
  • LogitResults.summary()
  • LogitResults.summary2()
  • LogitResults.tvalues()
  • LogitResults.t_test()
  • LogitResults.wald_test()
  • LogitResults.wald_test_terms()
  • MNLogit.cdf()
  • MNLogit.cov_params_func_l1()
  • MNLogit.fit()
  • MNLogit.fit_regularized()
  • MNLogit.from_formula()
  • MNLogit.hessian()
  • MNLogit.information()
  • MNLogit.initialize()
  • MNLogit.jac()
  • MNLogit.loglike()
  • MNLogit.loglikeobs()
  • MNLogit.loglike_and_score()
  • MNLogit.pdf()
  • MNLogit.predict()
  • MNLogit.score()
  • MNLogit.score_obs()
  • MultinomialModel.cdf()
  • MultinomialModel.cov_params_func_l1()
  • MultinomialModel.fit()
  • MultinomialModel.fit_regularized()
  • MultinomialModel.from_formula()
  • MultinomialModel.hessian()
  • MultinomialModel.information()
  • MultinomialModel.initialize()
  • MultinomialModel.loglike()
  • MultinomialModel.pdf()
  • MultinomialModel.predict()
  • MultinomialModel.score()
  • MultinomialResults.aic()
  • MultinomialResults.bic()
  • MultinomialResults.bse()
  • MultinomialResults.conf_int()
  • MultinomialResults.cov_params()
  • MultinomialResults.fittedvalues()
  • MultinomialResults.f_test()
  • MultinomialResults.get_margeff()
  • MultinomialResults.initialize()
  • MultinomialResults.llf()
  • MultinomialResults.llnull()
  • MultinomialResults.llr()
  • MultinomialResults.llr_pvalue()
  • MultinomialResults.load()
  • MultinomialResults.margeff()
  • MultinomialResults.normalized_cov_params()
  • MultinomialResults.predict()
  • MultinomialResults.pred_table()
  • MultinomialResults.prsquared()
  • MultinomialResults.pvalues()
  • MultinomialResults.remove_data()
  • MultinomialResults.resid_misclassified()
  • MultinomialResults.save()
  • MultinomialResults.summary()
  • MultinomialResults.summary2()
  • MultinomialResults.tvalues()
  • MultinomialResults.t_test()
  • MultinomialResults.wald_test()
  • MultinomialResults.wald_test_terms()
  • NegativeBinomial.cdf()
  • NegativeBinomial.cov_params_func_l1()
  • NegativeBinomial.fit()
  • NegativeBinomial.fit_regularized()
  • NegativeBinomial.from_formula()
  • NegativeBinomial.hessian()
  • NegativeBinomial.information()
  • NegativeBinomial.initialize()
  • NegativeBinomial.jac()
  • NegativeBinomial.loglike()
  • NegativeBinomial.pdf()
  • NegativeBinomial.predict()
  • NegativeBinomial.score()
  • NegativeBinomial.score_obs()
  • NegativeBinomialResults.aic()
  • NegativeBinomialResults.bic()
  • NegativeBinomialResults.bse()
  • NegativeBinomialResults.conf_int()
  • NegativeBinomialResults.cov_params()
  • NegativeBinomialResults.fittedvalues()
  • NegativeBinomialResults.f_test()
  • NegativeBinomialResults.get_margeff()
  • NegativeBinomialResults.initialize()
  • NegativeBinomialResults.llf()
  • NegativeBinomialResults.llnull()
  • NegativeBinomialResults.llr()
  • NegativeBinomialResults.llr_pvalue()
  • NegativeBinomialResults.lnalpha()
  • NegativeBinomialResults.lnalpha_std_err()
  • NegativeBinomialResults.load()
  • NegativeBinomialResults.normalized_cov_params()
  • NegativeBinomialResults.predict()
  • NegativeBinomialResults.prsquared()
  • NegativeBinomialResults.pvalues()
  • NegativeBinomialResults.remove_data()
  • NegativeBinomialResults.resid()
  • NegativeBinomialResults.save()
  • NegativeBinomialResults.summary()
  • NegativeBinomialResults.summary2()
  • NegativeBinomialResults.tvalues()
  • NegativeBinomialResults.t_test()
  • NegativeBinomialResults.wald_test()
  • NegativeBinomialResults.wald_test_terms()
  • Poisson.cdf()
  • Poisson.cov_params_func_l1()
  • Poisson.fit()
  • Poisson.fit_constrained()
  • Poisson.fit_regularized()
  • Poisson.from_formula()
  • Poisson.hessian()
  • Poisson.information()
  • Poisson.initialize()
  • Poisson.jac()
  • Poisson.loglike()
  • Poisson.loglikeobs()
  • Poisson.pdf()
  • Poisson.predict()
  • Poisson.score()
  • Poisson.score_obs()
  • Probit.cdf()
  • Probit.cov_params_func_l1()
  • Probit.fit()
  • Probit.fit_regularized()
  • Probit.from_formula()
  • Probit.hessian()
  • Probit.information()
  • Probit.initialize()
  • Probit.jac()
  • Probit.loglike()
  • Probit.loglikeobs()
  • Probit.pdf()
  • Probit.predict()
  • Probit.score()
  • Probit.score_obs()
  • ProbitResults.aic()
  • ProbitResults.bic()
  • ProbitResults.bse()
  • ProbitResults.conf_int()
  • ProbitResults.cov_params()
  • ProbitResults.fittedvalues()
  • ProbitResults.f_test()
  • ProbitResults.get_margeff()
  • ProbitResults.initialize()
  • ProbitResults.llf()
  • ProbitResults.llnull()
  • ProbitResults.llr()
  • ProbitResults.llr_pvalue()
  • ProbitResults.load()
  • ProbitResults.normalized_cov_params()
  • ProbitResults.predict()
  • ProbitResults.pred_table()
  • ProbitResults.prsquared()
  • ProbitResults.pvalues()
  • ProbitResults.remove_data()
  • ProbitResults.resid_dev()
  • ProbitResults.resid_generalized()
  • ProbitResults.resid_pearson()
  • ProbitResults.resid_response()
  • ProbitResults.save()
  • ProbitResults.summary()
  • ProbitResults.summary2()
  • ProbitResults.tvalues()
  • ProbitResults.t_test()
  • ProbitResults.wald_test()
  • ProbitResults.wald_test_terms()
  • NegativeBinomialResults.normalized_cov_params()
  • Generalized Linear Models

  • Binomial.deviance()
  • Binomial.fitted()
  • Binomial.initialize()
  • Binomial.loglike()
  • Binomial.predict()
  • Binomial.resid_anscombe()
  • Binomial.resid_dev()
  • Binomial.starting_mu()
  • Binomial.weights()
  • cauchy.deriv()
  • cauchy.deriv2()
  • cauchy.inverse()
  • cauchy.inverse_deriv()
  • CDFLink.deriv()
  • CDFLink.deriv2()
  • CDFLink.inverse()
  • CDFLink.inverse_deriv()
  • CLogLog.deriv()
  • CLogLog.deriv2()
  • CLogLog.inverse()
  • CLogLog.inverse_deriv()
  • Family.deviance()
  • Family.fitted()
  • Family.loglike()
  • Family.predict()
  • Family.resid_anscombe()
  • Family.resid_dev()
  • Family.starting_mu()
  • Family.weights()
  • Gamma.deviance()
  • Gamma.fitted()
  • Gamma.loglike()
  • Gamma.predict()
  • Gamma.resid_anscombe()
  • Gamma.resid_dev()
  • Gamma.starting_mu()
  • Gamma.weights()
  • Gaussian.deviance()
  • Gaussian.fitted()
  • Gaussian.loglike()
  • Gaussian.predict()
  • Gaussian.resid_anscombe()
  • Gaussian.resid_dev()
  • Gaussian.starting_mu()
  • Gaussian.weights()
  • genmod.families.family.Binomial()
  • genmod.families.family.Family()
  • genmod.families.family.Gamma()
  • genmod.families.family.Gaussian()
  • genmod.families.family.InverseGaussian()
  • genmod.families.family.NegativeBinomial()
  • genmod.families.family.Poisson()
  • genmod.families.family.Tweedie()
  • genmod.families.links.cauchy
  • genmod.families.links.CDFLink()
  • genmod.families.links.CLogLog
  • genmod.families.links.identity
  • genmod.families.links.inverse_power
  • genmod.families.links.inverse_squared
  • genmod.families.links.Link
  • genmod.families.links.Log
  • genmod.families.links.Logit
  • genmod.families.links.nbinom()
  • genmod.families.links.NegativeBinomial()
  • genmod.families.links.Power()
  • genmod.families.links.probit()
  • genmod.generalized_linear_model.GLM()
  • genmod.generalized_linear_model.GLMResults()
  • GLM.estimate_scale()
  • GLM.estimate_tweedie_power()
  • GLM.fit()
  • GLM.fit_constrained()
  • GLM.fit_regularized()
  • GLM.from_formula()
  • GLM.get_distribution()
  • GLM.hessian()
  • GLM.hessian_factor()
  • GLM.information()
  • GLM.initialize()
  • GLM.loglike()
  • GLM.loglike_mu()
  • GLM.predict()
  • GLM.score()
  • GLM.score_factor()
  • GLM.score_obs()
  • GLM.score_test()
  • GLMResults.aic()
  • GLMResults.bic()
  • GLMResults.bse()
  • GLMResults.conf_int()
  • GLMResults.cov_params()
  • GLMResults.deviance()
  • GLMResults.fittedvalues()
  • GLMResults.f_test()
  • GLMResults.get_prediction()
  • GLMResults.initialize()
  • GLMResults.llf()
  • GLMResults.llnull()
  • GLMResults.load()
  • GLMResults.mu()
  • GLMResults.normalized_cov_params()
  • GLMResults.null()
  • GLMResults.null_deviance()
  • GLMResults.pearson_chi2()
  • GLMResults.plot_added_variable()
  • GLMResults.plot_ceres_residuals()
  • GLMResults.plot_partial_residuals()
  • GLMResults.predict()
  • GLMResults.pvalues()
  • GLMResults.remove_data()
  • GLMResults.resid_anscombe()
  • GLMResults.resid_deviance()
  • GLMResults.resid_pearson()
  • GLMResults.resid_response()
  • GLMResults.resid_working()
  • GLMResults.save()
  • GLMResults.summary()
  • GLMResults.summary2()
  • GLMResults.tvalues()
  • GLMResults.t_test()
  • GLMResults.wald_test()
  • GLMResults.wald_test_terms()
  • identity.deriv()
  • identity.deriv2()
  • identity.inverse()
  • identity.inverse_deriv()
  • InverseGaussian.deviance()
  • InverseGaussian.fitted()
  • InverseGaussian.loglike()
  • InverseGaussian.predict()
  • InverseGaussian.resid_anscombe()
  • InverseGaussian.resid_dev()
  • InverseGaussian.starting_mu()
  • InverseGaussian.weights()
  • inverse_power.deriv()
  • inverse_power.deriv2()
  • inverse_power.inverse()
  • inverse_power.inverse_deriv()
  • inverse_squared.deriv()
  • inverse_squared.deriv2()
  • inverse_squared.inverse()
  • inverse_squared.inverse_deriv()
  • Link.deriv()
  • Link.deriv2()
  • Link.inverse()
  • Link.inverse_deriv()
  • Log.deriv()
  • Log.deriv2()
  • Log.inverse()
  • Log.inverse_deriv()
  • Logit.deriv()
  • Logit.deriv2()
  • Logit.inverse()
  • Logit.inverse_deriv()
  • nbinom.deriv()
  • nbinom.deriv2()
  • nbinom.inverse()
  • nbinom.inverse_deriv()
  • NegativeBinomial.deriv()
  • NegativeBinomial.deriv2()
  • NegativeBinomial.deviance()
  • NegativeBinomial.fitted()
  • NegativeBinomial.inverse()
  • NegativeBinomial.inverse_deriv()
  • NegativeBinomial.loglike()
  • NegativeBinomial.predict()
  • NegativeBinomial.resid_anscombe()
  • NegativeBinomial.resid_dev()
  • NegativeBinomial.starting_mu()
  • NegativeBinomial.weights()
  • Poisson.deviance()
  • Poisson.fitted()
  • Poisson.loglike()
  • Poisson.predict()
  • Poisson.resid_anscombe()
  • Poisson.resid_dev()
  • Poisson.starting_mu()
  • Poisson.weights()
  • Power.deriv()
  • Power.deriv2()
  • Power.inverse()
  • Power.inverse_deriv()
  • probit.deriv()
  • probit.deriv2()
  • probit.inverse()
  • probit.inverse_deriv()
  • Tweedie.deviance()
  • Tweedie.fitted()
  • Tweedie.loglike()
  • Tweedie.predict()
  • Tweedie.resid_anscombe()
  • Tweedie.resid_dev()
  • Tweedie.starting_mu()
  • Tweedie.weights()
  • Statistics

  • CompareCox.run()
  • CompareJ.run()
  • CompareMeans.dof_satt()
  • CompareMeans.from_data()
  • CompareMeans.std_meandiff_pooledvar()
  • CompareMeans.std_meandiff_separatevar()
  • CompareMeans.summary()
  • CompareMeans.tconfint_diff()
  • CompareMeans.ttest_ind()
  • CompareMeans.ttost_ind()
  • CompareMeans.zconfint_diff()
  • CompareMeans.ztest_ind()
  • CompareMeans.ztost_ind()
  • DescrStatsW.asrepeats()
  • DescrStatsW.corrcoef()
  • DescrStatsW.cov()
  • DescrStatsW.demeaned()
  • DescrStatsW.get_compare()
  • DescrStatsW.mean()
  • DescrStatsW.nobs()
  • DescrStatsW.quantile()
  • DescrStatsW.std()
  • DescrStatsW.std_ddof()
  • DescrStatsW.std_mean()
  • DescrStatsW.sum()
  • DescrStatsW.sumsquares()
  • DescrStatsW.sum_weights()
  • DescrStatsW.tconfint_mean()
  • DescrStatsW.ttest_mean()
  • DescrStatsW.ttost_mean()
  • DescrStatsW.var()
  • DescrStatsW.var_ddof()
  • DescrStatsW.zconfint_mean()
  • DescrStatsW.ztest_mean()
  • DescrStatsW.ztost_mean()
  • FactoredPSDMatrix.decorrelate()
  • FactoredPSDMatrix.logdet()
  • FactoredPSDMatrix.solve()
  • FactoredPSDMatrix.to_matrix()
  • FTestAnovaPower.plot_power()
  • FTestAnovaPower.power()
  • FTestAnovaPower.solve_power()
  • FTestPower.plot_power()
  • FTestPower.power()
  • FTestPower.solve_power()
  • GofChisquarePower.plot_power()
  • GofChisquarePower.power()
  • GofChisquarePower.solve_power()
  • GroupsStats.groupdemean()
  • GroupsStats.groupsswithin()
  • GroupsStats.groupvarwithin()
  • GroupsStats.runbasic()
  • GroupsStats.runbasic_old()
  • HetGoldfeldQuandt.run()
  • Mediation.fit()
  • MediationResults.summary()
  • MultiComparison.allpairtest()
  • MultiComparison.getranks()
  • MultiComparison.kruskal()
  • MultiComparison.tukeyhsd()
  • NormalIndPower.plot_power()
  • NormalIndPower.power()
  • NormalIndPower.solve_power()
  • NullDistribution.pdf()
  • OLSInfluence.cooks_distance()
  • OLSInfluence.cov_ratio()
  • OLSInfluence.det_cov_params_not_obsi()
  • OLSInfluence.dfbetas()
  • OLSInfluence.dffits()
  • OLSInfluence.dffits_internal()
  • OLSInfluence.ess_press()
  • OLSInfluence.get_resid_studentized_external()
  • OLSInfluence.hat_diag_factor()
  • OLSInfluence.hat_matrix_diag()
  • OLSInfluence.influence()
  • OLSInfluence.params_not_obsi()
  • OLSInfluence.resid_press()
  • OLSInfluence.resid_std()
  • OLSInfluence.resid_studentized_external()
  • OLSInfluence.resid_studentized_internal()
  • OLSInfluence.resid_var()
  • OLSInfluence.sigma2_not_obsi()
  • OLSInfluence.summary_frame()
  • OLSInfluence.summary_table()
  • Runs.runs_test()
  • sandbox.stats.multicomp.catstack()
  • sandbox.stats.multicomp.ccols
  • sandbox.stats.multicomp.compare_ordered()
  • sandbox.stats.multicomp.distance_st_range()
  • sandbox.stats.multicomp.ecdf()
  • sandbox.stats.multicomp.fdrcorrection0()
  • sandbox.stats.multicomp.get_tukeyQcrit()
  • sandbox.stats.multicomp.GroupsStats()
  • sandbox.stats.multicomp.homogeneous_subsets()
  • sandbox.stats.multicomp.maxzero()
  • sandbox.stats.multicomp.maxzerodown()
  • sandbox.stats.multicomp.mcfdr()
  • sandbox.stats.multicomp.MultiComparison()
  • sandbox.stats.multicomp.multipletests()
  • sandbox.stats.multicomp.qcrit
  • sandbox.stats.multicomp.randmvn()
  • sandbox.stats.multicomp.rankdata()
  • sandbox.stats.multicomp.rejectionline()
  • sandbox.stats.multicomp.set_partition()
  • sandbox.stats.multicomp.set_remove_subs()
  • sandbox.stats.multicomp.StepDown()
  • sandbox.stats.multicomp.tiecorrect()
  • sandbox.stats.multicomp.TukeyHSDResults()
  • sandbox.stats.multicomp.varcorrection_pairs_unbalanced()
  • sandbox.stats.multicomp.varcorrection_pairs_unequal()
  • sandbox.stats.multicomp.varcorrection_unbalanced()
  • sandbox.stats.multicomp.varcorrection_unequal()
  • sandbox.stats.runs.cochrans_q()
  • sandbox.stats.runs.mcnemar()
  • sandbox.stats.runs.median_test_ksample()
  • sandbox.stats.runs.Runs()
  • sandbox.stats.runs.runstest_1samp()
  • sandbox.stats.runs.runstest_2samp()
  • sandbox.stats.runs.symmetry_bowker()
  • stats.correlation_tools.corr_clipped()
  • stats.correlation_tools.corr_nearest()
  • stats.correlation_tools.corr_nearest_factor()
  • stats.correlation_tools.corr_thresholded()
  • stats.correlation_tools.cov_nearest()
  • stats.correlation_tools.cov_nearest_factor_homog()
  • stats.correlation_tools.FactoredPSDMatrix()
  • stats.descriptivestats.sign_test()
  • stats.diagnostic.acorr_breusch_godfrey()
  • stats.diagnostic.acorr_ljungbox()
  • stats.diagnostic.breaks_cusumolsresid()
  • stats.diagnostic.breaks_hansen()
  • stats.diagnostic.CompareCox
  • stats.diagnostic.CompareJ
  • stats.diagnostic.compare_cox
  • stats.diagnostic.compare_j
  • stats.diagnostic.HetGoldfeldQuandt
  • stats.diagnostic.het_arch()
  • stats.diagnostic.het_breuschpagan()
  • stats.diagnostic.het_goldfeldquandt
  • stats.diagnostic.het_white()
  • stats.diagnostic.kstest_normal()
  • stats.diagnostic.lilliefors()
  • stats.diagnostic.linear_harvey_collier()
  • stats.diagnostic.linear_lm()
  • stats.diagnostic.linear_rainbow()
  • stats.diagnostic.normal_ad()
  • stats.diagnostic.recursive_olsresiduals()
  • stats.diagnostic.unitroot_adf()
  • stats.gof.chisquare_effectsize()
  • stats.gof.gof_binning_discrete()
  • stats.gof.gof_chisquare_discrete()
  • stats.gof.powerdiscrepancy()
  • stats.inter_rater.aggregate_raters()
  • stats.inter_rater.cohens_kappa()
  • stats.inter_rater.fleiss_kappa()
  • stats.inter_rater.to_table()
  • stats.mediation.Mediation()
  • stats.mediation.MediationResults()
  • stats.moment_helpers.corr2cov()
  • stats.moment_helpers.cov2corr()
  • stats.moment_helpers.cum2mc()
  • stats.moment_helpers.mc2mnc()
  • stats.moment_helpers.mc2mvsk()
  • stats.moment_helpers.mnc2cum()
  • stats.moment_helpers.mnc2mc()
  • stats.moment_helpers.mnc2mvsk()
  • stats.moment_helpers.mvsk2mc()
  • stats.moment_helpers.mvsk2mnc()
  • stats.moment_helpers.se_cov()
  • stats.multicomp.pairwise_tukeyhsd()
  • stats.multitest.fdrcorrection_twostage()
  • stats.multitest.local_fdr()
  • stats.multitest.NullDistribution()
  • stats.outliers_influence.OLSInfluence()
  • stats.outliers_influence.variance_inflation_factor()
  • stats.power.FTestAnovaPower()
  • stats.power.FTestPower()
  • stats.power.GofChisquarePower()
  • stats.power.NormalIndPower()
  • stats.power.TTestIndPower()
  • stats.power.TTestPower()
  • stats.power.tt_ind_solve_power
  • stats.power.tt_solve_power
  • stats.power.zt_ind_solve_power
  • stats.proportion.binom_test()
  • stats.proportion.binom_test_reject_interval()
  • stats.proportion.binom_tost()
  • stats.proportion.binom_tost_reject_interval()
  • stats.proportion.multinomial_proportions_confint()
  • stats.proportion.power_binom_tost()
  • stats.proportion.power_ztost_prop()
  • stats.proportion.proportions_chisquare()
  • stats.proportion.proportions_chisquare_allpairs()
  • stats.proportion.proportions_chisquare_pairscontrol()
  • stats.proportion.proportions_ztest()
  • stats.proportion.proportions_ztost()
  • stats.proportion.proportion_confint()
  • stats.proportion.proportion_effectsize()
  • stats.proportion.samplesize_confint_proportion()
  • stats.sandwich_covariance.cov_cluster()
  • stats.sandwich_covariance.cov_cluster_2groups()
  • stats.sandwich_covariance.cov_hac()
  • stats.sandwich_covariance.cov_hc0()
  • stats.sandwich_covariance.cov_hc1()
  • stats.sandwich_covariance.cov_hc2()
  • stats.sandwich_covariance.cov_hc3()
  • stats.sandwich_covariance.cov_nw_groupsum()
  • stats.sandwich_covariance.cov_nw_panel()
  • stats.sandwich_covariance.cov_white_simple()
  • stats.sandwich_covariance.se_cov()
  • stats.stattools.durbin_watson()
  • stats.stattools.expected_robust_kurtosis()
  • stats.stattools.jarque_bera()
  • stats.stattools.medcouple()
  • stats.stattools.omni_normtest()
  • stats.stattools.robust_kurtosis()
  • stats.stattools.robust_skewness()
  • stats.weightstats.CompareMeans()
  • stats.weightstats.DescrStatsW()
  • stats.weightstats.ttest_ind()
  • stats.weightstats.ttost_ind()
  • stats.weightstats.ttost_paired()
  • stats.weightstats.zconfint()
  • stats.weightstats.ztest()
  • stats.weightstats.ztost()
  • stats.weightstats._tconfint_generic()
  • stats.weightstats._tstat_generic()
  • stats.weightstats._zconfint_generic()
  • stats.weightstats._zstat_generic()
  • stats.weightstats._zstat_generic2()
  • StepDown.check_set()
  • StepDown.get_crit()
  • StepDown.get_distance_matrix()
  • StepDown.iter_subsets()
  • StepDown.run()
  • StepDown.stepdown()
  • TTestIndPower.plot_power()
  • TTestIndPower.power()
  • TTestIndPower.solve_power()
  • TTestPower.plot_power()
  • TTestPower.power()
  • TTestPower.solve_power()
  • TukeyHSDResults.plot_simultaneous()
  • TukeyHSDResults.summary()
  • OLSInfluence.get_resid_studentized_external()
  • Methods for Survival and Duration Analysis

  • duration.hazard_regression.PHReg()
  • duration.hazard_regression.PHRegResults()
  • duration.survfunc.SurvfuncRight()
  • PHReg.baseline_cumulative_hazard()
  • PHReg.baseline_cumulative_hazard_function()
  • PHReg.breslow_gradient()
  • PHReg.breslow_hessian()
  • PHReg.breslow_loglike()
  • PHReg.efron_gradient()
  • PHReg.efron_hessian()
  • PHReg.efron_loglike()
  • PHReg.fit()
  • PHReg.fit_regularized()
  • PHReg.from_formula()
  • PHReg.get_distribution()
  • PHReg.hessian()
  • PHReg.information()
  • PHReg.initialize()
  • PHReg.loglike()
  • PHReg.predict()
  • PHReg.robust_covariance()
  • PHReg.score()
  • PHReg.score_residuals()
  • PHReg.weighted_covariate_averages()
  • PHRegResults.baseline_cumulative_hazard()
  • PHRegResults.baseline_cumulative_hazard_function()
  • PHRegResults.bse()
  • PHRegResults.conf_int()
  • PHRegResults.cov_params()
  • PHRegResults.f_test()
  • PHRegResults.get_distribution()
  • PHRegResults.initialize()
  • PHRegResults.llf()
  • PHRegResults.load()
  • PHRegResults.martingale_residuals()
  • PHRegResults.normalized_cov_params()
  • PHRegResults.predict()
  • PHRegResults.pvalues()
  • PHRegResults.remove_data()
  • PHRegResults.save()
  • PHRegResults.schoenfeld_residuals()
  • PHRegResults.score_residuals()
  • PHRegResults.standard_errors()
  • PHRegResults.summary()
  • PHRegResults.tvalues()
  • PHRegResults.t_test()
  • PHRegResults.wald_test()
  • PHRegResults.wald_test_terms()
  • PHRegResults.weighted_covariate_averages()
  • SurvfuncRight.plot()
  • SurvfuncRight.quantile()
  • SurvfuncRight.quantile_ci()
  • SurvfuncRight.simultaneous_cb()
  • SurvfuncRight.summary()
  • PHReg.baseline_cumulative_hazard_function()
  • PHRegResults.baseline_cumulative_hazard_function()
  • PHRegResults.weighted_covariate_averages()
  • Time Series Analysis by State Space Methods

  • DynamicFactor.filter()
  • DynamicFactor.fit()
  • DynamicFactor.from_formula()
  • DynamicFactor.hessian()
  • DynamicFactor.impulse_responses()
  • DynamicFactor.information()
  • DynamicFactor.initialize()
  • DynamicFactor.initialize_approximate_diffuse()
  • DynamicFactor.initialize_known()
  • DynamicFactor.initialize_statespace()
  • DynamicFactor.initialize_stationary()
  • DynamicFactor.loglike()
  • DynamicFactor.loglikeobs()
  • DynamicFactor.observed_information_matrix()
  • DynamicFactor.opg_information_matrix()
  • DynamicFactor.predict()
  • DynamicFactor.prepare_data()
  • DynamicFactor.score()
  • DynamicFactor.score_obs()
  • DynamicFactor.set_conserve_memory()
  • DynamicFactor.set_filter_method()
  • DynamicFactor.set_inversion_method()
  • DynamicFactor.set_smoother_output()
  • DynamicFactor.set_stability_method()
  • DynamicFactor.simulate()
  • DynamicFactor.smooth()
  • DynamicFactor.transform_jacobian()
  • DynamicFactor.transform_params()
  • DynamicFactor.untransform_params()
  • DynamicFactor.update()
  • DynamicFactorResults.aic()
  • DynamicFactorResults.bic()
  • DynamicFactorResults.bse()
  • DynamicFactorResults.coefficients_of_determination()
  • DynamicFactorResults.conf_int()
  • DynamicFactorResults.cov_params()
  • DynamicFactorResults.cov_params_approx()
  • DynamicFactorResults.cov_params_oim()
  • DynamicFactorResults.cov_params_opg()
  • DynamicFactorResults.cov_params_robust()
  • DynamicFactorResults.cov_params_robust_approx()
  • DynamicFactorResults.cov_params_robust_oim()
  • DynamicFactorResults.fittedvalues()
  • DynamicFactorResults.forecast()
  • DynamicFactorResults.f_test()
  • DynamicFactorResults.get_forecast()
  • DynamicFactorResults.get_prediction()
  • DynamicFactorResults.hqic()
  • DynamicFactorResults.impulse_responses()
  • DynamicFactorResults.initialize()
  • DynamicFactorResults.llf()
  • DynamicFactorResults.llf_obs()
  • DynamicFactorResults.load()
  • DynamicFactorResults.loglikelihood_burn()
  • DynamicFactorResults.normalized_cov_params()
  • DynamicFactorResults.plot_coefficients_of_determination()
  • DynamicFactorResults.plot_diagnostics()
  • DynamicFactorResults.predict()
  • DynamicFactorResults.pvalues()
  • DynamicFactorResults.remove_data()
  • DynamicFactorResults.resid()
  • DynamicFactorResults.save()
  • DynamicFactorResults.simulate()
  • DynamicFactorResults.summary()
  • DynamicFactorResults.test_heteroskedasticity()
  • DynamicFactorResults.test_normality()
  • DynamicFactorResults.test_serial_correlation()
  • DynamicFactorResults.tvalues()
  • DynamicFactorResults.t_test()
  • DynamicFactorResults.wald_test()
  • DynamicFactorResults.wald_test_terms()
  • DynamicFactorResults.zvalues()
  • FilterResults.predict()
  • FilterResults.update_filter()
  • FilterResults.update_representation()
  • FrozenRepresentation.update_representation()
  • KalmanFilter.bind()
  • KalmanFilter.filter()
  • KalmanFilter.impulse_responses()
  • KalmanFilter.initialize_approximate_diffuse()
  • KalmanFilter.initialize_known()
  • KalmanFilter.initialize_stationary()
  • KalmanFilter.loglike()
  • KalmanFilter.loglikeobs()
  • KalmanFilter.set_conserve_memory()
  • KalmanFilter.set_filter_method()
  • KalmanFilter.set_inversion_method()
  • KalmanFilter.set_stability_method()
  • KalmanFilter.simulate()
  • KalmanSmoother.bind()
  • KalmanSmoother.filter()
  • KalmanSmoother.impulse_responses()
  • KalmanSmoother.initialize_approximate_diffuse()
  • KalmanSmoother.initialize_known()
  • KalmanSmoother.initialize_stationary()
  • KalmanSmoother.loglike()
  • KalmanSmoother.loglikeobs()
  • KalmanSmoother.set_conserve_memory()
  • KalmanSmoother.set_filter_method()
  • KalmanSmoother.set_inversion_method()
  • KalmanSmoother.set_smoother_output()
  • KalmanSmoother.set_stability_method()
  • KalmanSmoother.simulate()
  • KalmanSmoother.smooth()
  • MLEModel.filter()
  • MLEModel.fit()
  • MLEModel.from_formula()
  • MLEModel.hessian()
  • MLEModel.impulse_responses()
  • MLEModel.information()
  • MLEModel.initialize()
  • MLEModel.initialize_approximate_diffuse()
  • MLEModel.initialize_known()
  • MLEModel.initialize_statespace()
  • MLEModel.initialize_stationary()
  • MLEModel.loglike()
  • MLEModel.loglikeobs()
  • MLEModel.observed_information_matrix()
  • MLEModel.opg_information_matrix()
  • MLEModel.predict()
  • MLEModel.prepare_data()
  • MLEModel.score()
  • MLEModel.score_obs()
  • MLEModel.set_conserve_memory()
  • MLEModel.set_filter_method()
  • MLEModel.set_inversion_method()
  • MLEModel.set_smoother_output()
  • MLEModel.set_stability_method()
  • MLEModel.simulate()
  • MLEModel.smooth()
  • MLEModel.transform_jacobian()
  • MLEModel.transform_params()
  • MLEModel.untransform_params()
  • MLEModel.update()
  • MLEResults.aic()
  • MLEResults.bic()
  • MLEResults.bse()
  • MLEResults.conf_int()
  • MLEResults.cov_params()
  • MLEResults.cov_params_approx()
  • MLEResults.cov_params_oim()
  • MLEResults.cov_params_opg()
  • MLEResults.cov_params_robust()
  • MLEResults.cov_params_robust_approx()
  • MLEResults.cov_params_robust_oim()
  • MLEResults.fittedvalues()
  • MLEResults.forecast()
  • MLEResults.f_test()
  • MLEResults.get_forecast()
  • MLEResults.get_prediction()
  • MLEResults.hqic()
  • MLEResults.impulse_responses()
  • MLEResults.initialize()
  • MLEResults.llf()
  • MLEResults.llf_obs()
  • MLEResults.load()
  • MLEResults.loglikelihood_burn()
  • MLEResults.normalized_cov_params()
  • MLEResults.plot_diagnostics()
  • MLEResults.predict()
  • MLEResults.pvalues()
  • MLEResults.remove_data()
  • MLEResults.resid()
  • MLEResults.save()
  • MLEResults.simulate()
  • MLEResults.summary()
  • MLEResults.test_heteroskedasticity()
  • MLEResults.test_normality()
  • MLEResults.test_serial_correlation()
  • MLEResults.tvalues()
  • MLEResults.t_test()
  • MLEResults.wald_test()
  • MLEResults.wald_test_terms()
  • MLEResults.zvalues()
  • Representation.bind()
  • Representation.initialize_approximate_diffuse()
  • Representation.initialize_known()
  • Representation.initialize_stationary()
  • SARIMAX.filter()
  • SARIMAX.fit()
  • SARIMAX.from_formula()
  • SARIMAX.hessian()
  • SARIMAX.impulse_responses()
  • SARIMAX.information()
  • SARIMAX.initialize()
  • SARIMAX.initialize_approximate_diffuse()
  • SARIMAX.initialize_known()
  • SARIMAX.initialize_state()
  • SARIMAX.initialize_statespace()
  • SARIMAX.initialize_stationary()
  • SARIMAX.loglike()
  • SARIMAX.loglikeobs()
  • SARIMAX.observed_information_matrix()
  • SARIMAX.opg_information_matrix()
  • SARIMAX.predict()
  • SARIMAX.prepare_data()
  • SARIMAX.score()
  • SARIMAX.score_obs()
  • SARIMAX.set_conserve_memory()
  • SARIMAX.set_filter_method()
  • SARIMAX.set_inversion_method()
  • SARIMAX.set_smoother_output()
  • SARIMAX.set_stability_method()
  • SARIMAX.simulate()
  • SARIMAX.smooth()
  • SARIMAX.transform_jacobian()
  • SARIMAX.transform_params()
  • SARIMAX.untransform_params()
  • SARIMAX.update()
  • SARIMAXResults.aic()
  • SARIMAXResults.arfreq()
  • SARIMAXResults.arparams()
  • SARIMAXResults.arroots()
  • SARIMAXResults.bic()
  • SARIMAXResults.bse()
  • SARIMAXResults.conf_int()
  • SARIMAXResults.cov_params()
  • SARIMAXResults.cov_params_approx()
  • SARIMAXResults.cov_params_oim()
  • SARIMAXResults.cov_params_opg()
  • SARIMAXResults.cov_params_robust()
  • SARIMAXResults.cov_params_robust_approx()
  • SARIMAXResults.cov_params_robust_oim()
  • SARIMAXResults.fittedvalues()
  • SARIMAXResults.forecast()
  • SARIMAXResults.f_test()
  • SARIMAXResults.get_forecast()
  • SARIMAXResults.get_prediction()
  • SARIMAXResults.hqic()
  • SARIMAXResults.impulse_responses()
  • SARIMAXResults.initialize()
  • SARIMAXResults.llf()
  • SARIMAXResults.llf_obs()
  • SARIMAXResults.load()
  • SARIMAXResults.loglikelihood_burn()
  • SARIMAXResults.mafreq()
  • SARIMAXResults.maparams()
  • SARIMAXResults.maroots()
  • SARIMAXResults.normalized_cov_params()
  • SARIMAXResults.plot_diagnostics()
  • SARIMAXResults.predict()
  • SARIMAXResults.pvalues()
  • SARIMAXResults.remove_data()
  • SARIMAXResults.resid()
  • SARIMAXResults.save()
  • SARIMAXResults.simulate()
  • SARIMAXResults.summary()
  • SARIMAXResults.test_heteroskedasticity()
  • SARIMAXResults.test_normality()
  • SARIMAXResults.test_serial_correlation()
  • SARIMAXResults.tvalues()
  • SARIMAXResults.t_test()
  • SARIMAXResults.wald_test()
  • SARIMAXResults.wald_test_terms()
  • SARIMAXResults.zvalues()
  • SmootherResults.predict()
  • SmootherResults.update_filter()
  • SmootherResults.update_representation()
  • SmootherResults.update_smoother()
  • tsa.statespace.dynamic_factor.DynamicFactor()
  • tsa.statespace.dynamic_factor.DynamicFactorResults()
  • tsa.statespace.kalman_filter.FilterResults()
  • tsa.statespace.kalman_filter.KalmanFilter()
  • tsa.statespace.kalman_smoother.KalmanSmoother()
  • tsa.statespace.kalman_smoother.SmootherResults()
  • tsa.statespace.mlemodel.MLEModel()
  • tsa.statespace.mlemodel.MLEResults()
  • tsa.statespace.representation.FrozenRepresentation()
  • tsa.statespace.representation.Representation()
  • tsa.statespace.sarimax.SARIMAX()
  • tsa.statespace.sarimax.SARIMAXResults()
  • tsa.statespace.structural.UnobservedComponents()
  • tsa.statespace.structural.UnobservedComponentsResults()
  • tsa.statespace.tools.companion_matrix()
  • tsa.statespace.tools.constrain_stationary_multivariate()
  • tsa.statespace.tools.constrain_stationary_univariate()
  • tsa.statespace.tools.diff()
  • tsa.statespace.tools.is_invertible()
  • tsa.statespace.tools.unconstrain_stationary_multivariate()
  • tsa.statespace.tools.unconstrain_stationary_univariate()
  • tsa.statespace.tools.validate_matrix_shape()
  • tsa.statespace.tools.validate_vector_shape()
  • tsa.statespace.varmax.VARMAX()
  • tsa.statespace.varmax.VARMAXResults()
  • UnobservedComponents.filter()
  • UnobservedComponents.fit()
  • UnobservedComponents.from_formula()
  • UnobservedComponents.hessian()
  • UnobservedComponents.impulse_responses()
  • UnobservedComponents.information()
  • UnobservedComponents.initialize()
  • UnobservedComponents.initialize_approximate_diffuse()
  • UnobservedComponents.initialize_known()
  • UnobservedComponents.initialize_state()
  • UnobservedComponents.initialize_statespace()
  • UnobservedComponents.initialize_stationary()
  • UnobservedComponents.loglike()
  • UnobservedComponents.loglikeobs()
  • UnobservedComponents.observed_information_matrix()
  • UnobservedComponents.opg_information_matrix()
  • UnobservedComponents.predict()
  • UnobservedComponents.prepare_data()
  • UnobservedComponents.score()
  • UnobservedComponents.score_obs()
  • UnobservedComponents.setup()
  • UnobservedComponents.set_conserve_memory()
  • UnobservedComponents.set_filter_method()
  • UnobservedComponents.set_inversion_method()
  • UnobservedComponents.set_smoother_output()
  • UnobservedComponents.set_stability_method()
  • UnobservedComponents.simulate()
  • UnobservedComponents.smooth()
  • UnobservedComponents.transform_jacobian()
  • UnobservedComponents.transform_params()
  • UnobservedComponents.untransform_params()
  • UnobservedComponents.update()
  • UnobservedComponentsResults.aic()
  • UnobservedComponentsResults.bic()
  • UnobservedComponentsResults.bse()
  • UnobservedComponentsResults.conf_int()
  • UnobservedComponentsResults.cov_params()
  • UnobservedComponentsResults.cov_params_approx()
  • UnobservedComponentsResults.cov_params_oim()
  • UnobservedComponentsResults.cov_params_opg()
  • UnobservedComponentsResults.cov_params_robust()
  • UnobservedComponentsResults.cov_params_robust_approx()
  • UnobservedComponentsResults.cov_params_robust_oim()
  • UnobservedComponentsResults.fittedvalues()
  • UnobservedComponentsResults.forecast()
  • UnobservedComponentsResults.f_test()
  • UnobservedComponentsResults.get_forecast()
  • UnobservedComponentsResults.get_prediction()
  • UnobservedComponentsResults.hqic()
  • UnobservedComponentsResults.impulse_responses()
  • UnobservedComponentsResults.initialize()
  • UnobservedComponentsResults.llf()
  • UnobservedComponentsResults.llf_obs()
  • UnobservedComponentsResults.load()
  • UnobservedComponentsResults.loglikelihood_burn()
  • UnobservedComponentsResults.normalized_cov_params()
  • UnobservedComponentsResults.plot_components()
  • UnobservedComponentsResults.plot_diagnostics()
  • UnobservedComponentsResults.predict()
  • UnobservedComponentsResults.pvalues()
  • UnobservedComponentsResults.remove_data()
  • UnobservedComponentsResults.resid()
  • UnobservedComponentsResults.save()
  • UnobservedComponentsResults.simulate()
  • UnobservedComponentsResults.summary()
  • UnobservedComponentsResults.test_heteroskedasticity()
  • UnobservedComponentsResults.test_normality()
  • UnobservedComponentsResults.test_serial_correlation()
  • UnobservedComponentsResults.tvalues()
  • UnobservedComponentsResults.t_test()
  • UnobservedComponentsResults.wald_test()
  • UnobservedComponentsResults.wald_test_terms()
  • UnobservedComponentsResults.zvalues()
  • VARMAX.filter()
  • VARMAX.fit()
  • VARMAX.from_formula()
  • VARMAX.hessian()
  • VARMAX.impulse_responses()
  • VARMAX.information()
  • VARMAX.initialize()
  • VARMAX.initialize_approximate_diffuse()
  • VARMAX.initialize_known()
  • VARMAX.initialize_statespace()
  • VARMAX.initialize_stationary()
  • VARMAX.loglike()
  • VARMAX.loglikeobs()
  • VARMAX.observed_information_matrix()
  • VARMAX.opg_information_matrix()
  • VARMAX.predict()
  • VARMAX.prepare_data()
  • VARMAX.score()
  • VARMAX.score_obs()
  • VARMAX.set_conserve_memory()
  • VARMAX.set_filter_method()
  • VARMAX.set_inversion_method()
  • VARMAX.set_smoother_output()
  • VARMAX.set_stability_method()
  • VARMAX.simulate()
  • VARMAX.smooth()
  • VARMAX.transform_jacobian()
  • VARMAX.transform_params()
  • VARMAX.untransform_params()
  • VARMAX.update()
  • VARMAXResults.aic()
  • VARMAXResults.bic()
  • VARMAXResults.bse()
  • VARMAXResults.conf_int()
  • VARMAXResults.cov_params()
  • VARMAXResults.cov_params_approx()
  • VARMAXResults.cov_params_oim()
  • VARMAXResults.cov_params_opg()
  • VARMAXResults.cov_params_robust()
  • VARMAXResults.cov_params_robust_approx()
  • VARMAXResults.cov_params_robust_oim()
  • VARMAXResults.fittedvalues()
  • VARMAXResults.forecast()
  • VARMAXResults.f_test()
  • VARMAXResults.get_forecast()
  • VARMAXResults.get_prediction()
  • VARMAXResults.hqic()
  • VARMAXResults.impulse_responses()
  • VARMAXResults.initialize()
  • VARMAXResults.llf()
  • VARMAXResults.llf_obs()
  • VARMAXResults.load()
  • VARMAXResults.loglikelihood_burn()
  • VARMAXResults.normalized_cov_params()
  • VARMAXResults.plot_diagnostics()
  • VARMAXResults.predict()
  • VARMAXResults.pvalues()
  • VARMAXResults.remove_data()
  • VARMAXResults.resid()
  • VARMAXResults.save()
  • VARMAXResults.simulate()
  • VARMAXResults.summary()
  • VARMAXResults.test_heteroskedasticity()
  • VARMAXResults.test_normality()
  • VARMAXResults.test_serial_correlation()
  • VARMAXResults.tvalues()
  • VARMAXResults.t_test()
  • VARMAXResults.wald_test()
  • VARMAXResults.wald_test_terms()
  • VARMAXResults.zvalues()
  • DynamicFactor.initialize_approximate_diffuse()
  • DynamicFactor.observed_information_matrix()
  • DynamicFactorResults.coefficients_of_determination()
  • DynamicFactorResults.cov_params_approx()
  • DynamicFactorResults.cov_params_robust()
  • DynamicFactorResults.cov_params_robust_approx()
  • DynamicFactorResults.cov_params_robust_oim()
  • DynamicFactorResults.impulse_responses()
  • DynamicFactorResults.loglikelihood_burn()
  • DynamicFactorResults.normalized_cov_params()
  • DynamicFactorResults.plot_coefficients_of_determination()
  • DynamicFactorResults.plot_diagnostics()
  • DynamicFactorResults.test_heteroskedasticity()
  • DynamicFactorResults.test_serial_correlation()
  • FrozenRepresentation.update_representation()
  • KalmanFilter.initialize_approximate_diffuse()
  • KalmanSmoother.initialize_approximate_diffuse()
  • KalmanSmoother.initialize_stationary()
  • Representation.initialize_approximate_diffuse()
  • SmootherResults.update_representation()
  • UnobservedComponents.initialize_approximate_diffuse()
  • UnobservedComponents.initialize_statespace()
  • UnobservedComponents.initialize_stationary()
  • UnobservedComponents.observed_information_matrix()
  • UnobservedComponents.opg_information_matrix()
  • UnobservedComponents.set_inversion_method()
  • UnobservedComponents.set_stability_method()
  • UnobservedComponentsResults.cov_params_approx()
  • UnobservedComponentsResults.cov_params_oim()
  • UnobservedComponentsResults.cov_params_opg()
  • UnobservedComponentsResults.cov_params_robust()
  • UnobservedComponentsResults.cov_params_robust_approx()
  • UnobservedComponentsResults.cov_params_robust_oim()
  • UnobservedComponentsResults.get_prediction()
  • UnobservedComponentsResults.impulse_responses()
  • UnobservedComponentsResults.loglikelihood_burn()
  • UnobservedComponentsResults.normalized_cov_params()
  • UnobservedComponentsResults.plot_components()
  • UnobservedComponentsResults.plot_diagnostics()
  • UnobservedComponentsResults.test_heteroskedasticity()
  • UnobservedComponentsResults.test_normality()
  • UnobservedComponentsResults.test_serial_correlation()
  • UnobservedComponentsResults.wald_test_terms()
  • Linear Regression

  • GLS.fit()
  • GLS.from_formula()
  • GLS.get_distribution()
  • GLS.hessian()
  • GLS.information()
  • GLS.initialize()
  • GLS.loglike()
  • GLS.predict()
  • GLS.score()
  • GLS.whiten()
  • GLSAR.fit()
  • GLSAR.from_formula()
  • GLSAR.get_distribution()
  • GLSAR.hessian()
  • GLSAR.information()
  • GLSAR.initialize()
  • GLSAR.iterative_fit()
  • GLSAR.loglike()
  • GLSAR.predict()
  • GLSAR.score()
  • GLSAR.whiten()
  • OLS.fit()
  • OLS.fit_regularized()
  • OLS.from_formula()
  • OLS.get_distribution()
  • OLS.hessian()
  • OLS.information()
  • OLS.initialize()
  • OLS.loglike()
  • OLS.predict()
  • OLS.score()
  • OLS.whiten()
  • OLSResults.aic()
  • OLSResults.bic()
  • OLSResults.bse()
  • OLSResults.centered_tss()
  • OLSResults.compare_f_test()
  • OLSResults.compare_lm_test()
  • OLSResults.compare_lr_test()
  • OLSResults.condition_number()
  • OLSResults.conf_int()
  • OLSResults.conf_int_el()
  • OLSResults.cov_HC0()
  • OLSResults.cov_HC1()
  • OLSResults.cov_HC2()
  • OLSResults.cov_HC3()
  • OLSResults.cov_params()
  • OLSResults.eigenvals()
  • OLSResults.el_test()
  • OLSResults.ess()
  • OLSResults.fittedvalues()
  • OLSResults.fvalue()
  • OLSResults.f_pvalue()
  • OLSResults.f_test()
  • OLSResults.get_influence()
  • OLSResults.get_prediction()
  • OLSResults.get_robustcov_results()
  • OLSResults.HC0_se()
  • OLSResults.HC1_se()
  • OLSResults.HC2_se()
  • OLSResults.HC3_se()
  • OLSResults.initialize()
  • OLSResults.llf()
  • OLSResults.load()
  • OLSResults.mse_model()
  • OLSResults.mse_resid()
  • OLSResults.mse_total()
  • OLSResults.nobs()
  • OLSResults.normalized_cov_params()
  • OLSResults.outlier_test()
  • OLSResults.predict()
  • OLSResults.pvalues()
  • OLSResults.remove_data()
  • OLSResults.resid()
  • OLSResults.resid_pearson()
  • OLSResults.rsquared()
  • OLSResults.rsquared_adj()
  • OLSResults.save()
  • OLSResults.scale()
  • OLSResults.ssr()
  • OLSResults.summary()
  • OLSResults.summary2()
  • OLSResults.tvalues()
  • OLSResults.t_test()
  • OLSResults.uncentered_tss()
  • OLSResults.wald_test()
  • OLSResults.wald_test_terms()
  • OLSResults.wresid()
  • QuantReg.fit()
  • QuantReg.from_formula()
  • QuantReg.get_distribution()
  • QuantReg.hessian()
  • QuantReg.information()
  • QuantReg.initialize()
  • QuantReg.loglike()
  • QuantReg.predict()
  • QuantReg.score()
  • QuantReg.whiten()
  • QuantRegResults.aic()
  • QuantRegResults.bic()
  • QuantRegResults.bse()
  • QuantRegResults.centered_tss()
  • QuantRegResults.compare_f_test()
  • QuantRegResults.compare_lm_test()
  • QuantRegResults.compare_lr_test()
  • QuantRegResults.condition_number()
  • QuantRegResults.conf_int()
  • QuantRegResults.cov_HC0()
  • QuantRegResults.cov_HC1()
  • QuantRegResults.cov_HC2()
  • QuantRegResults.cov_HC3()
  • QuantRegResults.cov_params()
  • QuantRegResults.eigenvals()
  • QuantRegResults.ess()
  • QuantRegResults.fittedvalues()
  • QuantRegResults.fvalue()
  • QuantRegResults.f_pvalue()
  • QuantRegResults.f_test()
  • QuantRegResults.get_prediction()
  • QuantRegResults.get_robustcov_results()
  • QuantRegResults.HC0_se()
  • QuantRegResults.HC1_se()
  • QuantRegResults.HC2_se()
  • QuantRegResults.HC3_se()
  • QuantRegResults.initialize()
  • QuantRegResults.llf()
  • QuantRegResults.load()
  • QuantRegResults.mse()
  • QuantRegResults.mse_model()
  • QuantRegResults.mse_resid()
  • QuantRegResults.mse_total()
  • QuantRegResults.nobs()
  • QuantRegResults.normalized_cov_params()
  • QuantRegResults.predict()
  • QuantRegResults.prsquared()
  • QuantRegResults.pvalues()
  • QuantRegResults.remove_data()
  • QuantRegResults.resid()
  • QuantRegResults.resid_pearson()
  • QuantRegResults.rsquared()
  • QuantRegResults.rsquared_adj()
  • QuantRegResults.save()
  • QuantRegResults.scale()
  • QuantRegResults.ssr()
  • QuantRegResults.summary()
  • QuantRegResults.summary2()
  • QuantRegResults.tvalues()
  • QuantRegResults.t_test()
  • QuantRegResults.uncentered_tss()
  • QuantRegResults.wald_test()
  • QuantRegResults.wald_test_terms()
  • QuantRegResults.wresid()
  • RecursiveLS.filter()
  • RecursiveLS.fit()
  • RecursiveLS.from_formula()
  • RecursiveLS.hessian()
  • RecursiveLS.impulse_responses()
  • RecursiveLS.information()
  • RecursiveLS.initialize()
  • RecursiveLS.initialize_approximate_diffuse()
  • RecursiveLS.initialize_known()
  • RecursiveLS.initialize_statespace()
  • RecursiveLS.initialize_stationary()
  • RecursiveLS.loglike()
  • RecursiveLS.loglikeobs()
  • RecursiveLS.observed_information_matrix()
  • RecursiveLS.opg_information_matrix()
  • RecursiveLS.predict()
  • RecursiveLS.prepare_data()
  • RecursiveLS.score()
  • RecursiveLS.score_obs()
  • RecursiveLS.set_conserve_memory()
  • RecursiveLS.set_filter_method()
  • RecursiveLS.set_inversion_method()
  • RecursiveLS.set_smoother_output()
  • RecursiveLS.set_stability_method()
  • RecursiveLS.simulate()
  • RecursiveLS.smooth()
  • RecursiveLS.transform_jacobian()
  • RecursiveLS.transform_params()
  • RecursiveLS.untransform_params()
  • RecursiveLS.update()
  • RecursiveLSResults.aic()
  • RecursiveLSResults.bic()
  • RecursiveLSResults.bse()
  • RecursiveLSResults.conf_int()
  • RecursiveLSResults.cov_params()
  • RecursiveLSResults.cov_params_approx()
  • RecursiveLSResults.cov_params_oim()
  • RecursiveLSResults.cov_params_opg()
  • RecursiveLSResults.cov_params_robust()
  • RecursiveLSResults.cov_params_robust_approx()
  • RecursiveLSResults.cov_params_robust_oim()
  • RecursiveLSResults.cusum()
  • RecursiveLSResults.cusum_squares()
  • RecursiveLSResults.fittedvalues()
  • RecursiveLSResults.forecast()
  • RecursiveLSResults.f_test()
  • RecursiveLSResults.get_forecast()
  • RecursiveLSResults.get_prediction()
  • RecursiveLSResults.hqic()
  • RecursiveLSResults.impulse_responses()
  • RecursiveLSResults.initialize()
  • RecursiveLSResults.llf()
  • RecursiveLSResults.llf_obs()
  • RecursiveLSResults.load()
  • RecursiveLSResults.loglikelihood_burn()
  • RecursiveLSResults.normalized_cov_params()
  • RecursiveLSResults.plot_cusum()
  • RecursiveLSResults.plot_cusum_squares()
  • RecursiveLSResults.plot_diagnostics()
  • RecursiveLSResults.plot_recursive_coefficient()
  • RecursiveLSResults.predict()
  • RecursiveLSResults.pvalues()
  • RecursiveLSResults.remove_data()
  • RecursiveLSResults.resid()
  • RecursiveLSResults.resid_recursive()
  • RecursiveLSResults.save()
  • RecursiveLSResults.simulate()
  • RecursiveLSResults.summary()
  • RecursiveLSResults.test_heteroskedasticity()
  • RecursiveLSResults.test_normality()
  • RecursiveLSResults.test_serial_correlation()
  • RecursiveLSResults.tvalues()
  • RecursiveLSResults.t_test()
  • RecursiveLSResults.wald_test()
  • RecursiveLSResults.wald_test_terms()
  • RecursiveLSResults.zvalues()
  • regression.linear_model.GLS()
  • regression.linear_model.GLSAR()
  • regression.linear_model.OLS()
  • regression.linear_model.OLSResults()
  • regression.linear_model.RegressionResults()
  • regression.linear_model.WLS()
  • regression.linear_model.yule_walker()
  • regression.quantile_regression.QuantReg()
  • regression.quantile_regression.QuantRegResults()
  • regression.recursive_ls.RecursiveLS()
  • regression.recursive_ls.RecursiveLSResults()
  • RegressionResults.aic()
  • RegressionResults.bic()
  • RegressionResults.bse()
  • RegressionResults.centered_tss()
  • RegressionResults.compare_f_test()
  • RegressionResults.compare_lm_test()
  • RegressionResults.compare_lr_test()
  • RegressionResults.condition_number()
  • RegressionResults.conf_int()
  • RegressionResults.cov_HC0()
  • RegressionResults.cov_HC1()
  • RegressionResults.cov_HC2()
  • RegressionResults.cov_HC3()
  • RegressionResults.cov_params()
  • RegressionResults.eigenvals()
  • RegressionResults.ess()
  • RegressionResults.fittedvalues()
  • RegressionResults.fvalue()
  • RegressionResults.f_pvalue()
  • RegressionResults.f_test()
  • RegressionResults.get_prediction()
  • RegressionResults.get_robustcov_results()
  • RegressionResults.HC0_se()
  • RegressionResults.HC1_se()
  • RegressionResults.HC2_se()
  • RegressionResults.HC3_se()
  • RegressionResults.initialize()
  • RegressionResults.llf()
  • RegressionResults.load()
  • RegressionResults.mse_model()
  • RegressionResults.mse_resid()
  • RegressionResults.mse_total()
  • RegressionResults.nobs()
  • RegressionResults.normalized_cov_params()
  • RegressionResults.predict()
  • RegressionResults.pvalues()
  • RegressionResults.remove_data()
  • RegressionResults.resid()
  • RegressionResults.resid_pearson()
  • RegressionResults.rsquared()
  • RegressionResults.rsquared_adj()
  • RegressionResults.save()
  • RegressionResults.scale()
  • RegressionResults.ssr()
  • RegressionResults.summary()
  • RegressionResults.summary2()
  • RegressionResults.tvalues()
  • RegressionResults.t_test()
  • RegressionResults.uncentered_tss()
  • RegressionResults.wald_test()
  • RegressionResults.wald_test_terms()
  • RegressionResults.wresid()
  • WLS.fit()
  • WLS.from_formula()
  • WLS.get_distribution()
  • WLS.hessian()
  • WLS.information()
  • WLS.initialize()
  • WLS.loglike()
  • WLS.predict()
  • WLS.score()
  • WLS.whiten()
  • QuantRegResults.get_robustcov_results()
  • QuantRegResults.normalized_cov_params()
  • RecursiveLSResults.cov_params_robust_approx()
  • RecursiveLSResults.plot_recursive_coefficient()
  • Generalized Method of Moments

  • GMM.calc_weightmatrix()
  • GMM.fit()
  • GMM.fitgmm()
  • GMM.fitgmm_cu()
  • GMM.fititer()
  • GMM.from_formula()
  • GMM.gmmobjective()
  • GMM.gmmobjective_cu()
  • GMM.gradient_momcond()
  • GMM.momcond_mean()
  • GMM.predict()
  • GMM.score()
  • GMM.score_cu()
  • GMM.start_weights()
  • GMMResults.bse()
  • GMMResults.calc_cov_params()
  • GMMResults.compare_j()
  • GMMResults.conf_int()
  • GMMResults.cov_params()
  • GMMResults.f_test()
  • GMMResults.get_bse()
  • GMMResults.initialize()
  • GMMResults.jtest()
  • GMMResults.jval()
  • GMMResults.llf()
  • GMMResults.load()
  • GMMResults.normalized_cov_params()
  • GMMResults.predict()
  • GMMResults.pvalues()
  • GMMResults.q()
  • GMMResults.remove_data()
  • GMMResults.save()
  • GMMResults.summary()
  • GMMResults.tvalues()
  • GMMResults.t_test()
  • GMMResults.wald_test()
  • GMMResults.wald_test_terms()
  • IV2SLS.fit()
  • IV2SLS.from_formula()
  • IV2SLS.hessian()
  • IV2SLS.information()
  • IV2SLS.initialize()
  • IV2SLS.loglike()
  • IV2SLS.predict()
  • IV2SLS.score()
  • IV2SLS.whiten()
  • IVGMM.calc_weightmatrix()
  • IVGMM.fit()
  • IVGMM.fitgmm()
  • IVGMM.fitgmm_cu()
  • IVGMM.fititer()
  • IVGMM.fitstart()
  • IVGMM.from_formula()
  • IVGMM.get_error()
  • IVGMM.gmmobjective()
  • IVGMM.gmmobjective_cu()
  • IVGMM.gradient_momcond()
  • IVGMM.momcond()
  • IVGMM.momcond_mean()
  • IVGMM.predict()
  • IVGMM.score()
  • IVGMM.score_cu()
  • IVGMM.start_weights()
  • IVGMMResults.bse()
  • IVGMMResults.calc_cov_params()
  • IVGMMResults.compare_j()
  • IVGMMResults.conf_int()
  • IVGMMResults.cov_params()
  • IVGMMResults.fittedvalues()
  • IVGMMResults.f_test()
  • IVGMMResults.get_bse()
  • IVGMMResults.initialize()
  • IVGMMResults.jtest()
  • IVGMMResults.jval()
  • IVGMMResults.llf()
  • IVGMMResults.load()
  • IVGMMResults.normalized_cov_params()
  • IVGMMResults.predict()
  • IVGMMResults.pvalues()
  • IVGMMResults.q()
  • IVGMMResults.remove_data()
  • IVGMMResults.resid()
  • IVGMMResults.save()
  • IVGMMResults.ssr()
  • IVGMMResults.summary()
  • IVGMMResults.tvalues()
  • IVGMMResults.t_test()
  • IVGMMResults.wald_test()
  • IVGMMResults.wald_test_terms()
  • IVRegressionResults.aic()
  • IVRegressionResults.bic()
  • IVRegressionResults.bse()
  • IVRegressionResults.centered_tss()
  • IVRegressionResults.compare_f_test()
  • IVRegressionResults.compare_lm_test()
  • IVRegressionResults.compare_lr_test()
  • IVRegressionResults.condition_number()
  • IVRegressionResults.conf_int()
  • IVRegressionResults.cov_HC0()
  • IVRegressionResults.cov_HC1()
  • IVRegressionResults.cov_HC2()
  • IVRegressionResults.cov_HC3()
  • IVRegressionResults.cov_params()
  • IVRegressionResults.eigenvals()
  • IVRegressionResults.ess()
  • IVRegressionResults.fittedvalues()
  • IVRegressionResults.fvalue()
  • IVRegressionResults.f_pvalue()
  • IVRegressionResults.f_test()
  • IVRegressionResults.get_prediction()
  • IVRegressionResults.get_robustcov_results()
  • IVRegressionResults.HC0_se()
  • IVRegressionResults.HC1_se()
  • IVRegressionResults.HC2_se()
  • IVRegressionResults.HC3_se()
  • IVRegressionResults.initialize()
  • IVRegressionResults.llf()
  • IVRegressionResults.load()
  • IVRegressionResults.mse_model()
  • IVRegressionResults.mse_resid()
  • IVRegressionResults.mse_total()
  • IVRegressionResults.nobs()
  • IVRegressionResults.normalized_cov_params()
  • IVRegressionResults.predict()
  • IVRegressionResults.pvalues()
  • IVRegressionResults.remove_data()
  • IVRegressionResults.resid()
  • IVRegressionResults.resid_pearson()
  • IVRegressionResults.rsquared()
  • IVRegressionResults.rsquared_adj()
  • IVRegressionResults.save()
  • IVRegressionResults.scale()
  • IVRegressionResults.spec_hausman()
  • IVRegressionResults.ssr()
  • IVRegressionResults.summary()
  • IVRegressionResults.summary2()
  • IVRegressionResults.tvalues()
  • IVRegressionResults.t_test()
  • IVRegressionResults.uncentered_tss()
  • IVRegressionResults.wald_test()
  • IVRegressionResults.wald_test_terms()
  • IVRegressionResults.wresid()
  • LinearIVGMM.calc_weightmatrix()
  • LinearIVGMM.fit()
  • LinearIVGMM.fitgmm()
  • LinearIVGMM.fitgmm_cu()
  • LinearIVGMM.fititer()
  • LinearIVGMM.fitstart()
  • LinearIVGMM.from_formula()
  • LinearIVGMM.get_error()
  • LinearIVGMM.gmmobjective()
  • LinearIVGMM.gmmobjective_cu()
  • LinearIVGMM.gradient_momcond()
  • LinearIVGMM.momcond()
  • LinearIVGMM.momcond_mean()
  • LinearIVGMM.predict()
  • LinearIVGMM.score()
  • LinearIVGMM.score_cu()
  • LinearIVGMM.start_weights()
  • NonlinearIVGMM.calc_weightmatrix()
  • NonlinearIVGMM.fit()
  • NonlinearIVGMM.fitgmm()
  • NonlinearIVGMM.fitgmm_cu()
  • NonlinearIVGMM.fititer()
  • NonlinearIVGMM.fitstart()
  • NonlinearIVGMM.from_formula()
  • NonlinearIVGMM.get_error()
  • NonlinearIVGMM.gmmobjective()
  • NonlinearIVGMM.gmmobjective_cu()
  • NonlinearIVGMM.gradient_momcond()
  • NonlinearIVGMM.jac_error()
  • NonlinearIVGMM.jac_func()
  • NonlinearIVGMM.momcond()
  • NonlinearIVGMM.momcond_mean()
  • NonlinearIVGMM.predict()
  • NonlinearIVGMM.score()
  • NonlinearIVGMM.score_cu()
  • NonlinearIVGMM.start_weights()
  • sandbox.regression.gmm.GMM()
  • sandbox.regression.gmm.GMMResults()
  • sandbox.regression.gmm.IV2SLS()
  • sandbox.regression.gmm.IVGMM()
  • sandbox.regression.gmm.IVGMMResults()
  • sandbox.regression.gmm.IVRegressionResults()
  • sandbox.regression.gmm.LinearIVGMM()
  • sandbox.regression.gmm.NonlinearIVGMM()
  • Other Models

  • miscmodels.count.PoissonGMLE()
  • miscmodels.count.PoissonOffsetGMLE()
  • miscmodels.count.PoissonZiGMLE()
  • miscmodels.tmodel.TLinearModel()
  • PoissonGMLE.expandparams()
  • PoissonGMLE.fit()
  • PoissonGMLE.from_formula()
  • PoissonGMLE.hessian()
  • PoissonGMLE.information()
  • PoissonGMLE.initialize()
  • PoissonGMLE.jac()
  • PoissonGMLE.loglike()
  • PoissonGMLE.loglikeobs()
  • PoissonGMLE.nloglike()
  • PoissonGMLE.nloglikeobs()
  • PoissonGMLE.predict()
  • PoissonGMLE.predict_distribution()
  • PoissonGMLE.reduceparams()
  • PoissonGMLE.score()
  • PoissonGMLE.score_obs()
  • PoissonOffsetGMLE.expandparams()
  • PoissonOffsetGMLE.fit()
  • PoissonOffsetGMLE.from_formula()
  • PoissonOffsetGMLE.hessian()
  • PoissonOffsetGMLE.information()
  • PoissonOffsetGMLE.initialize()
  • PoissonOffsetGMLE.jac()
  • PoissonOffsetGMLE.loglike()
  • PoissonOffsetGMLE.loglikeobs()
  • PoissonOffsetGMLE.nloglike()
  • PoissonOffsetGMLE.nloglikeobs()
  • PoissonOffsetGMLE.predict()
  • PoissonOffsetGMLE.reduceparams()
  • PoissonOffsetGMLE.score()
  • PoissonOffsetGMLE.score_obs()
  • PoissonZiGMLE.expandparams()
  • PoissonZiGMLE.fit()
  • PoissonZiGMLE.from_formula()
  • PoissonZiGMLE.hessian()
  • PoissonZiGMLE.information()
  • PoissonZiGMLE.initialize()
  • PoissonZiGMLE.jac()
  • PoissonZiGMLE.loglike()
  • PoissonZiGMLE.loglikeobs()
  • PoissonZiGMLE.nloglike()
  • PoissonZiGMLE.nloglikeobs()
  • PoissonZiGMLE.predict()
  • PoissonZiGMLE.reduceparams()
  • PoissonZiGMLE.score()
  • PoissonZiGMLE.score_obs()
  • TLinearModel.expandparams()
  • TLinearModel.fit()
  • TLinearModel.from_formula()
  • TLinearModel.hessian()
  • TLinearModel.information()
  • TLinearModel.initialize()
  • TLinearModel.jac()
  • TLinearModel.loglike()
  • TLinearModel.loglikeobs()
  • TLinearModel.nloglike()
  • TLinearModel.nloglikeobs()
  • TLinearModel.predict()
  • TLinearModel.reduceparams()
  • TLinearModel.score()
  • TLinearModel.score_obs()
  • Contingency tables

  • SquareTable.chi2_contribs()
  • SquareTable.cumulative_log_oddsratios()
  • SquareTable.cumulative_oddsratios()
  • SquareTable.fittedvalues()
  • SquareTable.from_data()
  • SquareTable.homogeneity()
  • SquareTable.independence_probabilities()
  • SquareTable.local_log_oddsratios()
  • SquareTable.local_oddsratios()
  • SquareTable.marginal_probabilities()
  • SquareTable.resid_pearson()
  • SquareTable.standardized_resids()
  • SquareTable.summary()
  • SquareTable.symmetry()
  • SquareTable.test_nominal_association()
  • SquareTable.test_ordinal_association()
  • stats.contingency_tables.cochrans_q()
  • stats.contingency_tables.mcnemar()
  • stats.contingency_tables.SquareTable()
  • stats.contingency_tables.StratifiedTable()
  • stats.contingency_tables.Table()
  • stats.contingency_tables.Table2x2()
  • StratifiedTable.from_data()
  • StratifiedTable.logodds_pooled()
  • StratifiedTable.logodds_pooled_confint()
  • StratifiedTable.logodds_pooled_se()
  • StratifiedTable.oddsratio_pooled()
  • StratifiedTable.oddsratio_pooled_confint()
  • StratifiedTable.risk_pooled()
  • StratifiedTable.summary()
  • StratifiedTable.test_equal_odds()
  • StratifiedTable.test_null_odds()
  • Table.chi2_contribs()
  • Table.cumulative_log_oddsratios()
  • Table.cumulative_oddsratios()
  • Table.fittedvalues()
  • Table.from_data()
  • Table.independence_probabilities()
  • Table.local_log_oddsratios()
  • Table.local_oddsratios()
  • Table.marginal_probabilities()
  • Table.resid_pearson()
  • Table.standardized_resids()
  • Table.test_nominal_association()
  • Table.test_ordinal_association()
  • Table2x2.chi2_contribs()
  • Table2x2.cumulative_log_oddsratios()
  • Table2x2.cumulative_oddsratios()
  • Table2x2.fittedvalues()
  • Table2x2.from_data()
  • Table2x2.homogeneity()
  • Table2x2.independence_probabilities()
  • Table2x2.local_log_oddsratios()
  • Table2x2.local_oddsratios()
  • Table2x2.log_oddsratio()
  • Table2x2.log_oddsratio_confint()
  • Table2x2.log_oddsratio_pvalue()
  • Table2x2.log_oddsratio_se()
  • Table2x2.log_riskratio()
  • Table2x2.log_riskratio_confint()
  • Table2x2.log_riskratio_pvalue()
  • Table2x2.log_riskratio_se()
  • Table2x2.marginal_probabilities()
  • Table2x2.oddsratio()
  • Table2x2.oddsratio_confint()
  • Table2x2.oddsratio_pvalue()
  • Table2x2.resid_pearson()
  • Table2x2.riskratio()
  • Table2x2.riskratio_confint()
  • Table2x2.riskratio_pvalue()
  • Table2x2.standardized_resids()
  • Table2x2.summary()
  • Table2x2.symmetry()
  • Table2x2.test_nominal_association()
  • Table2x2.test_ordinal_association()
  • Index

  • index