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statsmodels.miscmodels.count.PoissonGMLE.reduceparams

PoissonGMLE.reduceparams(params)

© 2009–2012 Statsmodels Developers
© 2006–2008 Scipy Developers
© 2006 Jonathan E. Taylor
Licensed under the 3-clause BSD License.
http://www.statsmodels.org/stable/generated/statsmodels.miscmodels.count.PoissonGMLE.reduceparams.html

Manual
Manual: ANOVA
Manual: Contingency tables
Manual: Distributions
Manual: Empirical Likelihood emplike
Manual: Fitting models using R-style formulas
Manual: Frequently Asked Question
Manual: Generalized Estimating Equations
Manual: Generalized Linear Mixed Effects Models
Manual: Generalized Linear Models
Manual: Generalized Method of Moments gmm
Manual: Getting started
Manual: Graphics
Manual: Import Paths and Structure
Manual: Input-Output iolib
Manual: Installation
Manual: Linear Mixed Effects Models
Manual: Linear Regression
Manual: Methods for Survival and Duration Analysis
Manual: Multiple Imputation with Chained Equations
Manual: Multivariate Statistics multivariate
Manual: Nonparametric Methods nonparametric
Manual: Other Models miscmodels
Manual: Patsy: Contrast Coding Systems for categorical variables
Manual: Pitfalls
Manual: Python Module Index
Manual: Regression Diagnostics and Specification Tests
Manual: Regression with Discrete Dependent Variable
Manual: Robust Linear Models
Manual: Sandbox
Manual: Statistics stats
Manual: Time Series Analysis by State Space Methods statespace
Manual: Time Series analysis tsa
Manual: Tools
Manual: Vector Autoregressions tsa.vector_ar
Manual: Weight Functions
Manual: endog, exog, what’s that?
Examples
Example: Autoregressive Moving Average (ARMA): Artificial data
Example: Autoregressive Moving Average (ARMA): Sunspots data
Example: Autoregressive Moving Average (ARMA): Sunspots data
Example: Contrasts Overview
Example: Dates in timeseries models
Example: Detrending, Stylized Facts and the Business Cycle
Example: Discrete Choice Models
Example: Discrete Choice Models Overview
Example: Dynamic factors and coincident indices
Example: Formulas: Fitting models using R-style formulas
Example: Generalized Least Squares
Example: Generalized Linear Models
Example: Generalized Linear Models (Formula)
Example: Interactions and ANOVA
Example: Kernel Density Estimation
Example: Linear Mixed Effects Models
Example: M-Estimators for Robust Linear Modeling
Example: Markov switching autoregression models
Example: Markov switching dynamic regression models
Example: Maximum Likelihood Estimation (Generic models)
Example: Ordinary Least Squares
Example: Plot Interaction of Categorical Factors
Example: Prediction (out of sample)
Example: Quantile regression
Example: Recursive least squares
Example: Regression Plots
Example: Regression diagnostics
Example: Robust Linear Models
Example: SARIMAX: Introduction
Example: SARIMAX: Model selection, missing data
Example: State space modeling: Local Linear Trends
Example: Statsmodels Examples
Example: Time Series Filters
Example: Trends and cycles in unemployment
Example: VARMAX models
Example: Weighted Least Squares
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()
Robust Linear Models
AndrewWave.psi()
AndrewWave.psi_deriv()
AndrewWave.rho()
AndrewWave.weights()
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()
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()
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()
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.f_test()
RLMResults.fittedvalues()
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.t_test()
RLMResults.t_test_pairwise()
RLMResults.tvalues()
RLMResults.wald_test()
RLMResults.wald_test_terms()
RLMResults.weights()
RamsayE.psi()
RamsayE.psi_deriv()
RamsayE.rho()
RamsayE.weights()
RobustNorm.psi()
RobustNorm.psi_deriv()
RobustNorm.rho()
RobustNorm.weights()
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()
TrimmedMean.psi()
TrimmedMean.psi_deriv()
TrimmedMean.rho()
TrimmedMean.weights()
TukeyBiweight.psi()
TukeyBiweight.psi_deriv()
TukeyBiweight.rho()
TukeyBiweight.weights()
distributions.empirical_distribution.ECDF()
distributions.empirical_distribution.StepFunction()
distributions.empirical_distribution.monotone_fn_inverter()
robust.norms.AndrewWave()
robust.norms.Hampel()
robust.norms.HuberT()
robust.norms.LeastSquares
robust.norms.RamsayE()
robust.norms.RobustNorm
robust.norms.TrimmedMean()
robust.norms.TukeyBiweight()
robust.norms.estimate_location()
robust.robust_linear_model.RLM()
robust.robust_linear_model.RLMResults()
robust.scale.Huber()
robust.scale.HuberScale()
robust.scale.hubers_scale
robust.scale.mad()
sandbox.distributions.extras.ACSkewT_gen
sandbox.distributions.extras.NormExpan_gen()
sandbox.distributions.extras.SkewNorm2_gen()
sandbox.distributions.extras.SkewNorm_gen
sandbox.distributions.extras.mvnormcdf()
sandbox.distributions.extras.mvstdnormcdf()
sandbox.distributions.extras.pdf_moments()
sandbox.distributions.extras.pdf_moments_st()
sandbox.distributions.extras.pdf_mvsk()
sandbox.distributions.extras.skewnorm2
sandbox.distributions.transformed.ExpTransf_gen()
sandbox.distributions.transformed.LogTransf_gen()
sandbox.distributions.transformed.SquareFunc
sandbox.distributions.transformed.TransfTwo_gen()
sandbox.distributions.transformed.Transf_gen()
sandbox.distributions.transformed.absnormalg
sandbox.distributions.transformed.invdnormalg
sandbox.distributions.transformed.loggammaexpg
sandbox.distributions.transformed.lognormalg
sandbox.distributions.transformed.negsquarenormalg
sandbox.distributions.transformed.squarenormalg
sandbox.distributions.transformed.squaretg
ANOVA
AnovaRM.fit()
stats.anova.AnovaRM()
stats.anova.anova_lm()
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.f_test()
ARIMAResults.fittedvalues()
ARIMAResults.forecast()
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.t_test()
ARIMAResults.t_test_pairwise()
ARIMAResults.tvalues()
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()
ARMAResults.aic()
ARMAResults.arfreq()
ARMAResults.arparams()
ARMAResults.arroots()
ARMAResults.bic()
ARMAResults.bse()
ARMAResults.conf_int()
ARMAResults.cov_params()
ARMAResults.f_test()
ARMAResults.fittedvalues()
ARMAResults.forecast()
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.t_test()
ARMAResults.t_test_pairwise()
ARMAResults.tvalues()
ARMAResults.wald_test()
ARMAResults.wald_test_terms()
ARResults.aic()
ARResults.bic()
ARResults.bse()
ARResults.conf_int()
ARResults.cov_params()
ARResults.f_test()
ARResults.fittedvalues()
ARResults.fpe()
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.t_test()
ARResults.t_test_pairwise()
ARResults.tvalues()
ARResults.wald_test()
ARResults.wald_test_terms()
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.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()
CausalityTestResults.summary()
CointRankResults.summary()
DynamicVAR.T()
DynamicVAR.coefs()
DynamicVAR.equations()
DynamicVAR.forecast()
DynamicVAR.plot_forecast()
DynamicVAR.r2()
DynamicVAR.resid()
ExponentialSmoothing.fit()
ExponentialSmoothing.from_formula()
ExponentialSmoothing.hessian()
ExponentialSmoothing.information()
ExponentialSmoothing.initialize()
ExponentialSmoothing.loglike()
ExponentialSmoothing.predict()
ExponentialSmoothing.score()
FEVD.cov()
FEVD.plot()
FEVD.summary()
Holt.fit()
Holt.from_formula()
Holt.hessian()
Holt.information()
Holt.initialize()
Holt.loglike()
Holt.predict()
Holt.score()
HoltWintersResults.forecast()
HoltWintersResults.initialize()
HoltWintersResults.predict()
HoltWintersResults.summary()
HypothesisTestResults.summary()
IRAnalysis.G()
IRAnalysis.H()
IRAnalysis.cov()
IRAnalysis.cum_effect_cov()
IRAnalysis.cum_effect_stderr()
IRAnalysis.cum_errband_mc()
IRAnalysis.err_band_sz1()
IRAnalysis.err_band_sz2()
IRAnalysis.err_band_sz3()
IRAnalysis.errband_mc()
IRAnalysis.fevd_table()
IRAnalysis.lr_effect_cov()
IRAnalysis.lr_effect_stderr()
IRAnalysis.plot()
IRAnalysis.plot_cum_effects()
IRAnalysis.stderr()
KalmanFilter.R()
KalmanFilter.T()
KalmanFilter.Z()
KalmanFilter.geterrors()
KalmanFilter.loglike()
LagOrderResults.summary()
MarkovAutoregression.filter()
MarkovAutoregression.fit()
MarkovAutoregression.from_formula()
MarkovAutoregression.hessian()
MarkovAutoregression.information()
MarkovAutoregression.initial_probabilities()
MarkovAutoregression.initialize()
MarkovAutoregression.initialize_known()
MarkovAutoregression.initialize_steady_state()
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.initial_probabilities()
MarkovRegression.initialize()
MarkovRegression.initialize_known()
MarkovRegression.initialize_steady_state()
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()
NormalityTestResults.summary()
SimpleExpSmoothing.fit()
SimpleExpSmoothing.from_formula()
SimpleExpSmoothing.hessian()
SimpleExpSmoothing.information()
SimpleExpSmoothing.initialize()
SimpleExpSmoothing.loglike()
SimpleExpSmoothing.predict()
SimpleExpSmoothing.score()
VAR.fit()
VAR.from_formula()
VAR.hessian()
VAR.information()
VAR.initialize()
VAR.loglike()
VAR.predict()
VAR.score()
VAR.select_order()
VARProcess.acf()
VARProcess.acorr()
VARProcess.forecast()
VARProcess.forecast_cov()
VARProcess.forecast_interval()
VARProcess.get_eq_index()
VARProcess.intercept_longrun()
VARProcess.is_stable()
VARProcess.long_run_effects()
VARProcess.ma_rep()
VARProcess.mean()
VARProcess.mse()
VARProcess.orth_ma_rep()
VARProcess.plot_acorr()
VARProcess.plotsim()
VARProcess.simulate_var()
VARProcess.to_vecm()
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.intercept_longrun()
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.plot_acorr()
VARResults.plot_forecast()
VARResults.plot_sample_acorr()
VARResults.plotsim()
VARResults.pvalues()
VARResults.pvalues_dt()
VARResults.pvalues_endog_lagged()
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.simulate_var()
VARResults.stderr()
VARResults.stderr_dt()
VARResults.stderr_endog_lagged()
VARResults.summary()
VARResults.test_causality()
VARResults.test_inst_causality()
VARResults.test_normality()
VARResults.test_whiteness()
VARResults.to_vecm()
VARResults.tvalues()
VARResults.tvalues_dt()
VARResults.tvalues_endog_lagged()
VECM.fit()
VECM.from_formula()
VECM.hessian()
VECM.information()
VECM.initialize()
VECM.loglike()
VECM.predict()
VECM.score()
VECMResults.conf_int_alpha()
VECMResults.conf_int_beta()
VECMResults.conf_int_det_coef()
VECMResults.conf_int_det_coef_coint()
VECMResults.conf_int_gamma()
VECMResults.cov_params_default()
VECMResults.cov_params_wo_det()
VECMResults.cov_var_repr()
VECMResults.fittedvalues()
VECMResults.irf()
VECMResults.llf()
VECMResults.ma_rep()
VECMResults.orth_ma_rep()
VECMResults.plot_data()
VECMResults.plot_forecast()
VECMResults.predict()
VECMResults.pvalues_alpha()
VECMResults.pvalues_beta()
VECMResults.pvalues_det_coef()
VECMResults.pvalues_det_coef_coint()
VECMResults.pvalues_gamma()
VECMResults.resid()
VECMResults.stderr_alpha()
VECMResults.stderr_beta()
VECMResults.stderr_coint()
VECMResults.stderr_det_coef()
VECMResults.stderr_det_coef_coint()
VECMResults.stderr_gamma()
VECMResults.stderr_params()
VECMResults.summary()
VECMResults.test_granger_causality()
VECMResults.test_inst_causality()
VECMResults.test_normality()
VECMResults.test_whiteness()
VECMResults.tvalues_alpha()
VECMResults.tvalues_beta()
VECMResults.tvalues_det_coef()
VECMResults.tvalues_det_coef_coint()
VECMResults.tvalues_gamma()
VECMResults.var_rep()
VarmaPoly.getisinvertible()
VarmaPoly.getisstationary()
VarmaPoly.hstack()
VarmaPoly.hstackarma_minus1()
VarmaPoly.reduceform()
VarmaPoly.stacksquare()
VarmaPoly.vstack()
VarmaPoly.vstackarma_minus1()
WhitenessTestResults.summary()
sandbox.tsa.fftarma.ArmaFft()
tsa.ar_model.AR()
tsa.ar_model.ARResults()
tsa.arima_model.ARIMA()
tsa.arima_model.ARIMAResults()
tsa.arima_model.ARMA()
tsa.arima_model.ARMAResults()
tsa.arima_process.ArmaProcess()
tsa.arima_process.ar2arma()
tsa.arima_process.arma2ar()
tsa.arima_process.arma2ma()
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.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.holtwinters.ExponentialSmoothing()
tsa.holtwinters.Holt()
tsa.holtwinters.HoltWintersResults()
tsa.holtwinters.SimpleExpSmoothing()
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.hypothesis_test_results.CausalityTestResults()
tsa.vector_ar.hypothesis_test_results.HypothesisTestResults()
tsa.vector_ar.hypothesis_test_results.NormalityTestResults()
tsa.vector_ar.hypothesis_test_results.WhitenessTestResults()
tsa.vector_ar.irf.IRAnalysis()
tsa.vector_ar.var_model.FEVD()
tsa.vector_ar.var_model.LagOrderResults()
tsa.vector_ar.var_model.VAR()
tsa.vector_ar.var_model.VARProcess()
tsa.vector_ar.var_model.VARResults()
tsa.vector_ar.vecm.CointRankResults()
tsa.vector_ar.vecm.VECM()
tsa.vector_ar.vecm.VECMResults()
tsa.vector_ar.vecm.coint_johansen()
tsa.vector_ar.vecm.select_coint_rank()
tsa.vector_ar.vecm.select_order()
tsa.x13.x13_arima_analysis()
tsa.x13.x13_arima_select_order()
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.f_test()
GEEResults.fittedvalues()
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.t_test()
GEEResults.t_test_pairwise()
GEEResults.tvalues()
GEEResults.wald_test()
GEEResults.wald_test_terms()
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()
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()
Generalized Linear Mixed Effects Models
BayesMixedGLMResults.random_effects()
BayesMixedGLMResults.summary()
BinomialBayesMixedGLM.fit()
BinomialBayesMixedGLM.fit_map()
BinomialBayesMixedGLM.fit_vb()
BinomialBayesMixedGLM.from_formula()
BinomialBayesMixedGLM.logposterior()
BinomialBayesMixedGLM.logposterior_grad()
BinomialBayesMixedGLM.predict()
BinomialBayesMixedGLM.vb_elbo()
BinomialBayesMixedGLM.vb_elbo_base()
BinomialBayesMixedGLM.vb_elbo_grad()
BinomialBayesMixedGLM.vb_elbo_grad_base()
PoissonBayesMixedGLM.fit()
PoissonBayesMixedGLM.fit_map()
PoissonBayesMixedGLM.fit_vb()
PoissonBayesMixedGLM.from_formula()
PoissonBayesMixedGLM.logposterior()
PoissonBayesMixedGLM.logposterior_grad()
PoissonBayesMixedGLM.predict()
PoissonBayesMixedGLM.vb_elbo()
PoissonBayesMixedGLM.vb_elbo_base()
PoissonBayesMixedGLM.vb_elbo_grad()
PoissonBayesMixedGLM.vb_elbo_grad_base()
genmod.bayes_mixed_glm.BayesMixedGLMResults()
genmod.bayes_mixed_glm.BinomialBayesMixedGLM()
genmod.bayes_mixed_glm.PoissonBayesMixedGLM()
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.f_test()
BinaryResults.fittedvalues()
BinaryResults.get_margeff()
BinaryResults.initialize()
BinaryResults.llf()
BinaryResults.llnull()
BinaryResults.llr()
BinaryResults.llr_pvalue()
BinaryResults.load()
BinaryResults.normalized_cov_params()
BinaryResults.pred_table()
BinaryResults.predict()
BinaryResults.prsquared()
BinaryResults.pvalues()
BinaryResults.remove_data()
BinaryResults.resid_dev()
BinaryResults.resid_pearson()
BinaryResults.resid_response()
BinaryResults.save()
BinaryResults.set_null_options()
BinaryResults.summary()
BinaryResults.summary2()
BinaryResults.t_test()
BinaryResults.t_test_pairwise()
BinaryResults.tvalues()
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.f_test()
CountResults.fittedvalues()
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.set_null_options()
CountResults.summary()
CountResults.summary2()
CountResults.t_test()
CountResults.t_test_pairwise()
CountResults.tvalues()
CountResults.wald_test()
CountResults.wald_test_terms()
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.f_test()
DiscreteResults.fittedvalues()
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.set_null_options()
DiscreteResults.summary()
DiscreteResults.summary2()
DiscreteResults.t_test()
DiscreteResults.t_test_pairwise()
DiscreteResults.tvalues()
DiscreteResults.wald_test()
DiscreteResults.wald_test_terms()
GeneralizedPoisson.cdf()
GeneralizedPoisson.cov_params_func_l1()
GeneralizedPoisson.fit()
GeneralizedPoisson.fit_regularized()
GeneralizedPoisson.from_formula()
GeneralizedPoisson.hessian()
GeneralizedPoisson.information()
GeneralizedPoisson.initialize()
GeneralizedPoisson.loglike()
GeneralizedPoisson.loglikeobs()
GeneralizedPoisson.pdf()
GeneralizedPoisson.predict()
GeneralizedPoisson.score()
GeneralizedPoisson.score_obs()
GeneralizedPoissonResults.aic()
GeneralizedPoissonResults.bic()
GeneralizedPoissonResults.bse()
GeneralizedPoissonResults.conf_int()
GeneralizedPoissonResults.cov_params()
GeneralizedPoissonResults.f_test()
GeneralizedPoissonResults.fittedvalues()
GeneralizedPoissonResults.get_margeff()
GeneralizedPoissonResults.initialize()
GeneralizedPoissonResults.llf()
GeneralizedPoissonResults.llnull()
GeneralizedPoissonResults.llr()
GeneralizedPoissonResults.llr_pvalue()
GeneralizedPoissonResults.lnalpha()
GeneralizedPoissonResults.lnalpha_std_err()
GeneralizedPoissonResults.load()
GeneralizedPoissonResults.normalized_cov_params()
GeneralizedPoissonResults.predict()
GeneralizedPoissonResults.prsquared()
GeneralizedPoissonResults.pvalues()
GeneralizedPoissonResults.remove_data()
GeneralizedPoissonResults.resid()
GeneralizedPoissonResults.save()
GeneralizedPoissonResults.set_null_options()
GeneralizedPoissonResults.summary()
GeneralizedPoissonResults.summary2()
GeneralizedPoissonResults.t_test()
GeneralizedPoissonResults.t_test_pairwise()
GeneralizedPoissonResults.tvalues()
GeneralizedPoissonResults.wald_test()
GeneralizedPoissonResults.wald_test_terms()
GenericZeroInflated.cdf()
GenericZeroInflated.cov_params_func_l1()
GenericZeroInflated.fit()
GenericZeroInflated.fit_regularized()
GenericZeroInflated.from_formula()
GenericZeroInflated.hessian()
GenericZeroInflated.information()
GenericZeroInflated.initialize()
GenericZeroInflated.loglike()
GenericZeroInflated.loglikeobs()
GenericZeroInflated.pdf()
GenericZeroInflated.predict()
GenericZeroInflated.score()
GenericZeroInflated.score_obs()
Logit.cdf()
Logit.cov_params_func_l1()
Logit.fit()
Logit.fit_regularized()
Logit.from_formula()
Logit.hessian()
Logit.information()
Logit.initialize()
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.f_test()
LogitResults.fittedvalues()
LogitResults.get_margeff()
LogitResults.initialize()
LogitResults.llf()
LogitResults.llnull()
LogitResults.llr()
LogitResults.llr_pvalue()
LogitResults.load()
LogitResults.normalized_cov_params()
LogitResults.pred_table()
LogitResults.predict()
LogitResults.prsquared()
LogitResults.pvalues()
LogitResults.remove_data()
LogitResults.resid_dev()
LogitResults.resid_generalized()
LogitResults.resid_pearson()
LogitResults.resid_response()
LogitResults.save()
LogitResults.set_null_options()
LogitResults.summary()
LogitResults.summary2()
LogitResults.t_test()
LogitResults.t_test_pairwise()
LogitResults.tvalues()
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.loglike()
MNLogit.loglike_and_score()
MNLogit.loglikeobs()
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.f_test()
MultinomialResults.fittedvalues()
MultinomialResults.get_margeff()
MultinomialResults.initialize()
MultinomialResults.llf()
MultinomialResults.llnull()
MultinomialResults.llr()
MultinomialResults.llr_pvalue()
MultinomialResults.load()
MultinomialResults.margeff()
MultinomialResults.normalized_cov_params()
MultinomialResults.pred_table()
MultinomialResults.predict()
MultinomialResults.prsquared()
MultinomialResults.pvalues()
MultinomialResults.remove_data()
MultinomialResults.resid_misclassified()
MultinomialResults.save()
MultinomialResults.set_null_options()
MultinomialResults.summary()
MultinomialResults.summary2()
MultinomialResults.t_test()
MultinomialResults.t_test_pairwise()
MultinomialResults.tvalues()
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.loglike()
NegativeBinomial.pdf()
NegativeBinomial.predict()
NegativeBinomial.score()
NegativeBinomial.score_obs()
NegativeBinomialP.cdf()
NegativeBinomialP.convert_params()
NegativeBinomialP.cov_params_func_l1()
NegativeBinomialP.fit()
NegativeBinomialP.fit_regularized()
NegativeBinomialP.from_formula()
NegativeBinomialP.hessian()
NegativeBinomialP.information()
NegativeBinomialP.initialize()
NegativeBinomialP.loglike()
NegativeBinomialP.loglikeobs()
NegativeBinomialP.pdf()
NegativeBinomialP.predict()
NegativeBinomialP.score()
NegativeBinomialP.score_obs()
NegativeBinomialResults.aic()
NegativeBinomialResults.bic()
NegativeBinomialResults.bse()
NegativeBinomialResults.conf_int()
NegativeBinomialResults.cov_params()
NegativeBinomialResults.f_test()
NegativeBinomialResults.fittedvalues()
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.set_null_options()
NegativeBinomialResults.summary()
NegativeBinomialResults.summary2()
NegativeBinomialResults.t_test()
NegativeBinomialResults.t_test_pairwise()
NegativeBinomialResults.tvalues()
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.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.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.f_test()
ProbitResults.fittedvalues()
ProbitResults.get_margeff()
ProbitResults.initialize()
ProbitResults.llf()
ProbitResults.llnull()
ProbitResults.llr()
ProbitResults.llr_pvalue()
ProbitResults.load()
ProbitResults.normalized_cov_params()
ProbitResults.pred_table()
ProbitResults.predict()
ProbitResults.prsquared()
ProbitResults.pvalues()
ProbitResults.remove_data()
ProbitResults.resid_dev()
ProbitResults.resid_generalized()
ProbitResults.resid_pearson()
ProbitResults.resid_response()
ProbitResults.save()
ProbitResults.set_null_options()
ProbitResults.summary()
ProbitResults.summary2()
ProbitResults.t_test()
ProbitResults.t_test_pairwise()
ProbitResults.tvalues()
ProbitResults.wald_test()
ProbitResults.wald_test_terms()
ZeroInflatedGeneralizedPoisson.cdf()
ZeroInflatedGeneralizedPoisson.cov_params_func_l1()
ZeroInflatedGeneralizedPoisson.fit()
ZeroInflatedGeneralizedPoisson.fit_regularized()
ZeroInflatedGeneralizedPoisson.from_formula()
ZeroInflatedGeneralizedPoisson.hessian()
ZeroInflatedGeneralizedPoisson.information()
ZeroInflatedGeneralizedPoisson.initialize()
ZeroInflatedGeneralizedPoisson.loglike()
ZeroInflatedGeneralizedPoisson.loglikeobs()
ZeroInflatedGeneralizedPoisson.pdf()
ZeroInflatedGeneralizedPoisson.predict()
ZeroInflatedGeneralizedPoisson.score()
ZeroInflatedGeneralizedPoisson.score_obs()
ZeroInflatedGeneralizedPoissonResults.aic()
ZeroInflatedGeneralizedPoissonResults.bic()
ZeroInflatedGeneralizedPoissonResults.bse()
ZeroInflatedGeneralizedPoissonResults.conf_int()
ZeroInflatedGeneralizedPoissonResults.cov_params()
ZeroInflatedGeneralizedPoissonResults.f_test()
ZeroInflatedGeneralizedPoissonResults.fittedvalues()
ZeroInflatedGeneralizedPoissonResults.get_margeff()
ZeroInflatedGeneralizedPoissonResults.initialize()
ZeroInflatedGeneralizedPoissonResults.llf()
ZeroInflatedGeneralizedPoissonResults.llnull()
ZeroInflatedGeneralizedPoissonResults.llr()
ZeroInflatedGeneralizedPoissonResults.llr_pvalue()
ZeroInflatedGeneralizedPoissonResults.load()
ZeroInflatedGeneralizedPoissonResults.normalized_cov_params()
ZeroInflatedGeneralizedPoissonResults.predict()
ZeroInflatedGeneralizedPoissonResults.prsquared()
ZeroInflatedGeneralizedPoissonResults.pvalues()
ZeroInflatedGeneralizedPoissonResults.remove_data()
ZeroInflatedGeneralizedPoissonResults.resid()
ZeroInflatedGeneralizedPoissonResults.save()
ZeroInflatedGeneralizedPoissonResults.set_null_options()
ZeroInflatedGeneralizedPoissonResults.summary()
ZeroInflatedGeneralizedPoissonResults.summary2()
ZeroInflatedGeneralizedPoissonResults.t_test()
ZeroInflatedGeneralizedPoissonResults.t_test_pairwise()
ZeroInflatedGeneralizedPoissonResults.tvalues()
ZeroInflatedGeneralizedPoissonResults.wald_test()
ZeroInflatedGeneralizedPoissonResults.wald_test_terms()
ZeroInflatedNegativeBinomialP.cdf()
ZeroInflatedNegativeBinomialP.cov_params_func_l1()
ZeroInflatedNegativeBinomialP.fit()
ZeroInflatedNegativeBinomialP.fit_regularized()
ZeroInflatedNegativeBinomialP.from_formula()
ZeroInflatedNegativeBinomialP.hessian()
ZeroInflatedNegativeBinomialP.information()
ZeroInflatedNegativeBinomialP.initialize()
ZeroInflatedNegativeBinomialP.loglike()
ZeroInflatedNegativeBinomialP.loglikeobs()
ZeroInflatedNegativeBinomialP.pdf()
ZeroInflatedNegativeBinomialP.predict()
ZeroInflatedNegativeBinomialP.score()
ZeroInflatedNegativeBinomialP.score_obs()
ZeroInflatedNegativeBinomialResults.aic()
ZeroInflatedNegativeBinomialResults.bic()
ZeroInflatedNegativeBinomialResults.bse()
ZeroInflatedNegativeBinomialResults.conf_int()
ZeroInflatedNegativeBinomialResults.cov_params()
ZeroInflatedNegativeBinomialResults.f_test()
ZeroInflatedNegativeBinomialResults.fittedvalues()
ZeroInflatedNegativeBinomialResults.get_margeff()
ZeroInflatedNegativeBinomialResults.initialize()
ZeroInflatedNegativeBinomialResults.llf()
ZeroInflatedNegativeBinomialResults.llnull()
ZeroInflatedNegativeBinomialResults.llr()
ZeroInflatedNegativeBinomialResults.llr_pvalue()
ZeroInflatedNegativeBinomialResults.load()
ZeroInflatedNegativeBinomialResults.normalized_cov_params()
ZeroInflatedNegativeBinomialResults.predict()
ZeroInflatedNegativeBinomialResults.prsquared()
ZeroInflatedNegativeBinomialResults.pvalues()
ZeroInflatedNegativeBinomialResults.remove_data()
ZeroInflatedNegativeBinomialResults.resid()
ZeroInflatedNegativeBinomialResults.save()
ZeroInflatedNegativeBinomialResults.set_null_options()
ZeroInflatedNegativeBinomialResults.summary()
ZeroInflatedNegativeBinomialResults.summary2()
ZeroInflatedNegativeBinomialResults.t_test()
ZeroInflatedNegativeBinomialResults.t_test_pairwise()
ZeroInflatedNegativeBinomialResults.tvalues()
ZeroInflatedNegativeBinomialResults.wald_test()
ZeroInflatedNegativeBinomialResults.wald_test_terms()
ZeroInflatedPoisson.cdf()
ZeroInflatedPoisson.cov_params_func_l1()
ZeroInflatedPoisson.fit()
ZeroInflatedPoisson.fit_regularized()
ZeroInflatedPoisson.from_formula()
ZeroInflatedPoisson.hessian()
ZeroInflatedPoisson.information()
ZeroInflatedPoisson.initialize()
ZeroInflatedPoisson.loglike()
ZeroInflatedPoisson.loglikeobs()
ZeroInflatedPoisson.pdf()
ZeroInflatedPoisson.predict()
ZeroInflatedPoisson.score()
ZeroInflatedPoisson.score_obs()
ZeroInflatedPoissonResults.aic()
ZeroInflatedPoissonResults.bic()
ZeroInflatedPoissonResults.bse()
ZeroInflatedPoissonResults.conf_int()
ZeroInflatedPoissonResults.cov_params()
ZeroInflatedPoissonResults.f_test()
ZeroInflatedPoissonResults.fittedvalues()
ZeroInflatedPoissonResults.get_margeff()
ZeroInflatedPoissonResults.initialize()
ZeroInflatedPoissonResults.llf()
ZeroInflatedPoissonResults.llnull()
ZeroInflatedPoissonResults.llr()
ZeroInflatedPoissonResults.llr_pvalue()
ZeroInflatedPoissonResults.load()
ZeroInflatedPoissonResults.normalized_cov_params()
ZeroInflatedPoissonResults.predict()
ZeroInflatedPoissonResults.prsquared()
ZeroInflatedPoissonResults.pvalues()
ZeroInflatedPoissonResults.remove_data()
ZeroInflatedPoissonResults.resid()
ZeroInflatedPoissonResults.save()
ZeroInflatedPoissonResults.set_null_options()
ZeroInflatedPoissonResults.summary()
ZeroInflatedPoissonResults.summary2()
ZeroInflatedPoissonResults.t_test()
ZeroInflatedPoissonResults.t_test_pairwise()
ZeroInflatedPoissonResults.tvalues()
ZeroInflatedPoissonResults.wald_test()
ZeroInflatedPoissonResults.wald_test_terms()
discrete.count_model.GenericZeroInflated()
discrete.count_model.ZeroInflatedGeneralizedPoisson()
discrete.count_model.ZeroInflatedGeneralizedPoissonResults()
discrete.count_model.ZeroInflatedNegativeBinomialP()
discrete.count_model.ZeroInflatedNegativeBinomialResults()
discrete.count_model.ZeroInflatedPoisson()
discrete.count_model.ZeroInflatedPoissonResults()
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.GeneralizedPoisson()
discrete.discrete_model.GeneralizedPoissonResults()
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.NegativeBinomialP()
discrete.discrete_model.NegativeBinomialResults()
discrete.discrete_model.Poisson()
discrete.discrete_model.Probit()
discrete.discrete_model.ProbitResults()
Generalized Linear Models
Binomial.deviance()
Binomial.fitted()
Binomial.initialize()
Binomial.loglike()
Binomial.loglike_obs()
Binomial.predict()
Binomial.resid_anscombe()
Binomial.resid_dev()
Binomial.starting_mu()
Binomial.weights()
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.loglike_obs()
Family.predict()
Family.resid_anscombe()
Family.resid_dev()
Family.starting_mu()
Family.weights()
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.f_test()
GLMResults.fittedvalues()
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_anscombe_scaled()
GLMResults.resid_anscombe_unscaled()
GLMResults.resid_deviance()
GLMResults.resid_pearson()
GLMResults.resid_response()
GLMResults.resid_working()
GLMResults.save()
GLMResults.summary()
GLMResults.summary2()
GLMResults.t_test()
GLMResults.t_test_pairwise()
GLMResults.tvalues()
GLMResults.wald_test()
GLMResults.wald_test_terms()
Gamma.deviance()
Gamma.fitted()
Gamma.loglike()
Gamma.loglike_obs()
Gamma.predict()
Gamma.resid_anscombe()
Gamma.resid_dev()
Gamma.starting_mu()
Gamma.weights()
Gaussian.deviance()
Gaussian.fitted()
Gaussian.loglike()
Gaussian.loglike_obs()
Gaussian.predict()
Gaussian.resid_anscombe()
Gaussian.resid_dev()
Gaussian.starting_mu()
Gaussian.weights()
InverseGaussian.deviance()
InverseGaussian.fitted()
InverseGaussian.loglike()
InverseGaussian.loglike_obs()
InverseGaussian.predict()
InverseGaussian.resid_anscombe()
InverseGaussian.resid_dev()
InverseGaussian.starting_mu()
InverseGaussian.weights()
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()
NegativeBinomial.deriv()
NegativeBinomial.deriv2()
NegativeBinomial.deviance()
NegativeBinomial.fitted()
NegativeBinomial.inverse()
NegativeBinomial.inverse_deriv()
NegativeBinomial.loglike()
NegativeBinomial.loglike_obs()
NegativeBinomial.predict()
NegativeBinomial.resid_anscombe()
NegativeBinomial.resid_dev()
NegativeBinomial.starting_mu()
NegativeBinomial.weights()
Poisson.deviance()
Poisson.fitted()
Poisson.loglike()
Poisson.loglike_obs()
Poisson.predict()
Poisson.resid_anscombe()
Poisson.resid_dev()
Poisson.starting_mu()
Poisson.weights()
Power.deriv()
Power.deriv2()
Power.inverse()
Power.inverse_deriv()
PredictionResults.conf_int()
PredictionResults.summary_frame()
PredictionResults.t_test()
Tweedie.deviance()
Tweedie.fitted()
Tweedie.loglike()
Tweedie.loglike_obs()
Tweedie.predict()
Tweedie.resid_anscombe()
Tweedie.resid_dev()
Tweedie.starting_mu()
Tweedie.weights()
cauchy.deriv()
cauchy.deriv2()
cauchy.inverse()
cauchy.inverse_deriv()
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.CDFLink()
genmod.families.links.CLogLog
genmod.families.links.Link
genmod.families.links.Log
genmod.families.links.Logit
genmod.families.links.NegativeBinomial()
genmod.families.links.Power()
genmod.families.links.cauchy
genmod.families.links.identity
genmod.families.links.inverse_power
genmod.families.links.inverse_squared
genmod.families.links.nbinom()
genmod.families.links.probit()
genmod.generalized_linear_model.GLM()
genmod.generalized_linear_model.GLMResults()
genmod.generalized_linear_model.PredictionResults()
identity.deriv()
identity.deriv2()
identity.inverse()
identity.inverse_deriv()
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()
nbinom.deriv()
nbinom.deriv2()
nbinom.inverse()
nbinom.inverse_deriv()
probit.deriv()
probit.deriv2()
probit.inverse()
probit.inverse_deriv()
Multivariate Statistics
CanCorr.corr_test()
CanCorr.fit()
CanCorr.from_formula()
CanCorr.predict()
Factor.fit()
Factor.from_formula()
Factor.loglike()
Factor.predict()
Factor.score()
FactorResults.factor_score_params()
FactorResults.factor_scoring()
FactorResults.fitted_cov()
FactorResults.get_loadings_frame()
FactorResults.load_stderr()
FactorResults.plot_loadings()
FactorResults.plot_scree()
FactorResults.rotate()
FactorResults.summary()
FactorResults.uniq_stderr()
MANOVA.fit()
MANOVA.from_formula()
MANOVA.mv_test()
MANOVA.predict()
MultivariateTestResults.summary()
PCA.plot_rsquare()
PCA.plot_scree()
PCA.project()
_MultivariateOLS.fit()
_MultivariateOLS.from_formula()
_MultivariateOLS.predict()
_MultivariateOLSResults.mv_test()
_MultivariateOLSResults.summary()
multivariate.cancorr.CanCorr()
multivariate.factor.Factor()
multivariate.factor.FactorResults()
multivariate.factor_rotation.procrustes()
multivariate.factor_rotation.promax()
multivariate.factor_rotation.rotate_factors()
multivariate.factor_rotation.target_rotation()
multivariate.manova.MANOVA()
multivariate.multivariate_ols.MultivariateTestResults()
multivariate.multivariate_ols._MultivariateOLS()
multivariate.multivariate_ols._MultivariateOLSResults()
multivariate.pca.PCA()
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.sum_weights()
DescrStatsW.sumsquares()
DescrStatsW.tconfint_mean()
DescrStatsW.ttest_mean()
DescrStatsW.ttost_mean()
DescrStatsW.var()
DescrStatsW.var_ddof()
DescrStatsW.zconfint_mean()
DescrStatsW.ztest_mean()
DescrStatsW.ztost_mean()
FTestAnovaPower.plot_power()
FTestAnovaPower.power()
FTestAnovaPower.solve_power()
FTestPower.plot_power()
FTestPower.power()
FTestPower.solve_power()
FactoredPSDMatrix.decorrelate()
FactoredPSDMatrix.logdet()
FactoredPSDMatrix.solve()
FactoredPSDMatrix.to_matrix()
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()
RegressionFDR.threshold()
Runs.runs_test()
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()
sandbox.stats.multicomp.GroupsStats()
sandbox.stats.multicomp.MultiComparison()
sandbox.stats.multicomp.StepDown()
sandbox.stats.multicomp.TukeyHSDResults()
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.get_tukeyQcrit()
sandbox.stats.multicomp.homogeneous_subsets()
sandbox.stats.multicomp.maxzero()
sandbox.stats.multicomp.maxzerodown()
sandbox.stats.multicomp.mcfdr()
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.tiecorrect()
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.Runs()
sandbox.stats.runs.cochrans_q()
sandbox.stats.runs.mcnemar()
sandbox.stats.runs.median_test_ksample()
sandbox.stats.runs.runstest_1samp()
sandbox.stats.runs.runstest_2samp()
sandbox.stats.runs.symmetry_bowker()
stats.correlation_tools.FactoredPSDMatrix()
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.descriptivestats.sign_test()
stats.diagnostic.CompareCox
stats.diagnostic.CompareJ
stats.diagnostic.HetGoldfeldQuandt
stats.diagnostic.acorr_breusch_godfrey()
stats.diagnostic.acorr_ljungbox()
stats.diagnostic.breaks_cusumolsresid()
stats.diagnostic.breaks_hansen()
stats.diagnostic.compare_cox
stats.diagnostic.compare_j
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.NullDistribution()
stats.multitest.RegressionFDR()
stats.multitest.fdrcorrection()
stats.multitest.fdrcorrection_twostage()
stats.multitest.local_fdr()
stats.multitest.multipletests()
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.proportion_confint()
stats.proportion.proportion_effectsize()
stats.proportion.proportions_chisquare()
stats.proportion.proportions_chisquare_allpairs()
stats.proportion.proportions_chisquare_pairscontrol()
stats.proportion.proportions_ztest()
stats.proportion.proportions_ztost()
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._tconfint_generic()
stats.weightstats._tstat_generic()
stats.weightstats._zconfint_generic()
stats.weightstats._zstat_generic()
stats.weightstats._zstat_generic2()
stats.weightstats.ttest_ind()
stats.weightstats.ttost_ind()
stats.weightstats.ttost_paired()
stats.weightstats.zconfint()
stats.weightstats.ztest()
stats.weightstats.ztost()
Empirical Likelihood
DescStatMV.ci_corr()
DescStatMV.mv_mean_contour()
DescStatMV.mv_test_mean()
DescStatMV.test_corr()
DescStatUV.ci_kurt()
DescStatUV.ci_mean()
DescStatUV.ci_skew()
DescStatUV.ci_var()
DescStatUV.plot_contour()
DescStatUV.test_joint_skew_kurt()
DescStatUV.test_kurt()
DescStatUV.test_mean()
DescStatUV.test_skew()
DescStatUV.test_var()
emplike.descriptive.DescStat()
emplike.descriptive.DescStatMV()
emplike.descriptive.DescStatUV()
Methods for Survival and Duration Analysis
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.t_test()
PHRegResults.t_test_pairwise()
PHRegResults.tvalues()
PHRegResults.wald_test()
PHRegResults.wald_test_terms()
PHRegResults.weighted_covariate_averages()
SurvfuncRight.plot()
SurvfuncRight.quantile()
SurvfuncRight.quantile_ci()
SurvfuncRight.simultaneous_cb()
SurvfuncRight.summary()
duration.hazard_regression.PHReg()
duration.hazard_regression.PHRegResults()
duration.survfunc.SurvfuncRight()
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.simulation_smoother()
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.f_test()
DynamicFactorResults.fittedvalues()
DynamicFactorResults.forecast()
DynamicFactorResults.get_forecast()
DynamicFactorResults.get_prediction()
DynamicFactorResults.hqic()
DynamicFactorResults.impulse_responses()
DynamicFactorResults.info_criteria()
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.t_test()
DynamicFactorResults.t_test_pairwise()
DynamicFactorResults.test_heteroskedasticity()
DynamicFactorResults.test_normality()
DynamicFactorResults.test_serial_correlation()
DynamicFactorResults.tvalues()
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_filter_timing()
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_filter_timing()
KalmanSmoother.set_inversion_method()
KalmanSmoother.set_smooth_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.simulation_smoother()
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.f_test()
MLEResults.fittedvalues()
MLEResults.forecast()
MLEResults.get_forecast()
MLEResults.get_prediction()
MLEResults.hqic()
MLEResults.impulse_responses()
MLEResults.info_criteria()
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.t_test()
MLEResults.t_test_pairwise()
MLEResults.test_heteroskedasticity()
MLEResults.test_normality()
MLEResults.test_serial_correlation()
MLEResults.tvalues()
MLEResults.wald_test()
MLEResults.wald_test_terms()
MLEResults.zvalues()
PredictionResults.predict()
PredictionResults.update_filter()
PredictionResults.update_representation()
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.simulation_smoother()
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.f_test()
SARIMAXResults.fittedvalues()
SARIMAXResults.forecast()
SARIMAXResults.get_forecast()
SARIMAXResults.get_prediction()
SARIMAXResults.hqic()
SARIMAXResults.impulse_responses()
SARIMAXResults.info_criteria()
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.seasonalarparams()
SARIMAXResults.seasonalmaparams()
SARIMAXResults.simulate()
SARIMAXResults.summary()
SARIMAXResults.t_test()
SARIMAXResults.t_test_pairwise()
SARIMAXResults.test_heteroskedasticity()
SARIMAXResults.test_normality()
SARIMAXResults.test_serial_correlation()
SARIMAXResults.tvalues()
SARIMAXResults.wald_test()
SARIMAXResults.wald_test_terms()
SARIMAXResults.zvalues()
SmootherResults.predict()
SmootherResults.update_filter()
SmootherResults.update_representation()
SmootherResults.update_smoother()
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.set_conserve_memory()
UnobservedComponents.set_filter_method()
UnobservedComponents.set_inversion_method()
UnobservedComponents.set_smoother_output()
UnobservedComponents.set_stability_method()
UnobservedComponents.setup()
UnobservedComponents.simulate()
UnobservedComponents.simulation_smoother()
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.f_test()
UnobservedComponentsResults.fittedvalues()
UnobservedComponentsResults.forecast()
UnobservedComponentsResults.get_forecast()
UnobservedComponentsResults.get_prediction()
UnobservedComponentsResults.hqic()
UnobservedComponentsResults.impulse_responses()
UnobservedComponentsResults.info_criteria()
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.t_test()
UnobservedComponentsResults.t_test_pairwise()
UnobservedComponentsResults.test_heteroskedasticity()
UnobservedComponentsResults.test_normality()
UnobservedComponentsResults.test_serial_correlation()
UnobservedComponentsResults.tvalues()
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.simulation_smoother()
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.f_test()
VARMAXResults.fittedvalues()
VARMAXResults.forecast()
VARMAXResults.get_forecast()
VARMAXResults.get_prediction()
VARMAXResults.hqic()
VARMAXResults.impulse_responses()
VARMAXResults.info_criteria()
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.t_test()
VARMAXResults.t_test_pairwise()
VARMAXResults.test_heteroskedasticity()
VARMAXResults.test_normality()
VARMAXResults.test_serial_correlation()
VARMAXResults.tvalues()
VARMAXResults.wald_test()
VARMAXResults.wald_test_terms()
VARMAXResults.zvalues()
tsa.statespace.dynamic_factor.DynamicFactor()
tsa.statespace.dynamic_factor.DynamicFactorResults()
tsa.statespace.kalman_filter.FilterResults()
tsa.statespace.kalman_filter.KalmanFilter()
tsa.statespace.kalman_filter.PredictionResults()
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()
Linear Regression
GLS.fit()
GLS.fit_regularized()
GLS.from_formula()
GLS.get_distribution()
GLS.hessian()
GLS.hessian_factor()
GLS.information()
GLS.initialize()
GLS.loglike()
GLS.predict()
GLS.score()
GLS.whiten()
GLSAR.fit()
GLSAR.fit_regularized()
GLSAR.from_formula()
GLSAR.get_distribution()
GLSAR.hessian()
GLSAR.hessian_factor()
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.hessian_factor()
OLS.information()
OLS.initialize()
OLS.loglike()
OLS.predict()
OLS.score()
OLS.whiten()
OLSResults.HC0_se()
OLSResults.HC1_se()
OLSResults.HC2_se()
OLSResults.HC3_se()
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.f_pvalue()
OLSResults.f_test()
OLSResults.fittedvalues()
OLSResults.fvalue()
OLSResults.get_influence()
OLSResults.get_prediction()
OLSResults.get_robustcov_results()
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.t_test()
OLSResults.t_test_pairwise()
OLSResults.tvalues()
OLSResults.uncentered_tss()
OLSResults.wald_test()
OLSResults.wald_test_terms()
OLSResults.wresid()
PredictionResults.conf_int()
PredictionResults.summary_frame()
QuantReg.fit()
QuantReg.from_formula()
QuantReg.get_distribution()
QuantReg.hessian()
QuantReg.information()
QuantReg.initialize()
QuantReg.loglike()
QuantReg.predict()
QuantReg.score()
QuantReg.whiten()
QuantRegResults.HC0_se()
QuantRegResults.HC1_se()
QuantRegResults.HC2_se()
QuantRegResults.HC3_se()
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.f_pvalue()
QuantRegResults.f_test()
QuantRegResults.fittedvalues()
QuantRegResults.fvalue()
QuantRegResults.get_prediction()
QuantRegResults.get_robustcov_results()
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.t_test()
QuantRegResults.t_test_pairwise()
QuantRegResults.tvalues()
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.simulation_smoother()
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.f_test()
RecursiveLSResults.fittedvalues()
RecursiveLSResults.forecast()
RecursiveLSResults.get_forecast()
RecursiveLSResults.get_prediction()
RecursiveLSResults.hqic()
RecursiveLSResults.impulse_responses()
RecursiveLSResults.info_criteria()
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.t_test()
RecursiveLSResults.t_test_pairwise()
RecursiveLSResults.test_heteroskedasticity()
RecursiveLSResults.test_normality()
RecursiveLSResults.test_serial_correlation()
RecursiveLSResults.tvalues()
RecursiveLSResults.wald_test()
RecursiveLSResults.wald_test_terms()
RecursiveLSResults.zvalues()
RegressionResults.HC0_se()
RegressionResults.HC1_se()
RegressionResults.HC2_se()
RegressionResults.HC3_se()
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.f_pvalue()
RegressionResults.f_test()
RegressionResults.fittedvalues()
RegressionResults.fvalue()
RegressionResults.get_prediction()
RegressionResults.get_robustcov_results()
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.t_test()
RegressionResults.t_test_pairwise()
RegressionResults.tvalues()
RegressionResults.uncentered_tss()
RegressionResults.wald_test()
RegressionResults.wald_test_terms()
RegressionResults.wresid()
WLS.fit()
WLS.fit_regularized()
WLS.from_formula()
WLS.get_distribution()
WLS.hessian()
WLS.hessian_factor()
WLS.information()
WLS.initialize()
WLS.loglike()
WLS.predict()
WLS.score()
WLS.whiten()
regression.linear_model.GLS()
regression.linear_model.GLSAR()
regression.linear_model.OLS()
regression.linear_model.OLSResults()
regression.linear_model.PredictionResults()
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()
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.set_param_names()
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.t_test()
GMMResults.t_test_pairwise()
GMMResults.tvalues()
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.set_param_names()
IVGMM.start_weights()
IVGMMResults.bse()
IVGMMResults.calc_cov_params()
IVGMMResults.compare_j()
IVGMMResults.conf_int()
IVGMMResults.cov_params()
IVGMMResults.f_test()
IVGMMResults.fittedvalues()
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.t_test()
IVGMMResults.t_test_pairwise()
IVGMMResults.tvalues()
IVGMMResults.wald_test()
IVGMMResults.wald_test_terms()
IVRegressionResults.HC0_se()
IVRegressionResults.HC1_se()
IVRegressionResults.HC2_se()
IVRegressionResults.HC3_se()
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.f_pvalue()
IVRegressionResults.f_test()
IVRegressionResults.fittedvalues()
IVRegressionResults.fvalue()
IVRegressionResults.get_prediction()
IVRegressionResults.get_robustcov_results()
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.t_test()
IVRegressionResults.t_test_pairwise()
IVRegressionResults.tvalues()
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.set_param_names()
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.set_param_names()
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()
Graphics
ProbPlot.ppplot()
ProbPlot.probplot()
ProbPlot.qqplot()
ProbPlot.sample_percentiles()
ProbPlot.sample_quantiles()
ProbPlot.sorted_data()
ProbPlot.theoretical_percentiles()
ProbPlot.theoretical_quantiles()
graphics.agreement.mean_diff_plot()
graphics.boxplots.beanplot()
graphics.boxplots.violinplot()
graphics.correlation.plot_corr()
graphics.correlation.plot_corr_grid()
graphics.factorplots.interaction_plot()
graphics.functional.banddepth()
graphics.functional.fboxplot()
graphics.functional.hdrboxplot()
graphics.functional.rainbowplot()
graphics.gofplots.ProbPlot()
graphics.gofplots.qqline()
graphics.gofplots.qqplot()
graphics.gofplots.qqplot_2samples()
graphics.mosaicplot.mosaic()
graphics.plot_grids.scatter_ellipse()
graphics.regressionplots.abline_plot()
graphics.regressionplots.influence_plot()
graphics.regressionplots.plot_ccpr()
graphics.regressionplots.plot_fit()
graphics.regressionplots.plot_leverage_resid2()
graphics.regressionplots.plot_partregress()
graphics.regressionplots.plot_regress_exog()
graphics.tsaplots.month_plot()
graphics.tsaplots.plot_acf()
graphics.tsaplots.plot_pacf()
graphics.tsaplots.quarter_plot()
Multiple Imputation with Chained Equations
MICE.combine()
MICE.fit()
MICE.next_sample()
MICEData.get_fitting_data()
MICEData.get_split_data()
MICEData.impute()
MICEData.impute_pmm()
MICEData.next_sample()
MICEData.perturb_params()
MICEData.plot_bivariate()
MICEData.plot_fit_obs()
MICEData.plot_imputed_hist()
MICEData.plot_missing_pattern()
MICEData.set_imputer()
MICEData.update()
MICEData.update_all()
imputation.mice.MICE()
imputation.mice.MICEData()
Input-Output
SimpleTable.append()
SimpleTable.as_csv()
SimpleTable.as_html()
SimpleTable.as_latex_tabular()
SimpleTable.as_text()
SimpleTable.clear()
SimpleTable.copy()
SimpleTable.count()
SimpleTable.extend()
SimpleTable.extend_right()
SimpleTable.get_colwidths()
SimpleTable.index()
SimpleTable.insert()
SimpleTable.insert_header_row()
SimpleTable.insert_stubs()
SimpleTable.label_cells()
SimpleTable.pad()
SimpleTable.pop()
SimpleTable.remove()
SimpleTable.reverse()
SimpleTable.sort()
StataReader.dataset()
StataReader.file_format()
StataReader.file_headers()
StataReader.file_label()
StataReader.file_timestamp()
StataReader.variables()
StataWriter.write_file()
Summary.add_array()
Summary.add_base()
Summary.add_df()
Summary.add_dict()
Summary.add_extra_txt()
Summary.add_table_2cols()
Summary.add_table_params()
Summary.add_text()
Summary.add_title()
Summary.as_csv()
Summary.as_html()
Summary.as_html()
Summary.as_latex()
Summary.as_latex()
Summary.as_text()
Summary.as_text()
iolib.foreign.StataReader()
iolib.foreign.StataWriter()
iolib.foreign.genfromdta()
iolib.foreign.savetxt()
iolib.smpickle.load_pickle()
iolib.smpickle.save_pickle()
iolib.summary.Summary
iolib.summary2.Summary
iolib.table.SimpleTable()
iolib.table.csv2st()
Nonparametric Methods
KDEMultivariate.cdf()
KDEMultivariate.imse()
KDEMultivariate.loo_likelihood()
KDEMultivariate.pdf()
KDEMultivariateConditional.cdf()
KDEMultivariateConditional.imse()
KDEMultivariateConditional.loo_likelihood()
KDEMultivariateConditional.pdf()
KDEUnivariate.cdf()
KDEUnivariate.cumhazard()
KDEUnivariate.entropy()
KDEUnivariate.evaluate()
KDEUnivariate.fit()
KDEUnivariate.icdf()
KDEUnivariate.sf()
KernelCensoredReg.aic_hurvich()
KernelCensoredReg.censored()
KernelCensoredReg.cv_loo()
KernelCensoredReg.fit()
KernelCensoredReg.loo_likelihood()
KernelCensoredReg.r_squared()
KernelCensoredReg.sig_test()
KernelReg.aic_hurvich()
KernelReg.cv_loo()
KernelReg.fit()
KernelReg.loo_likelihood()
KernelReg.r_squared()
KernelReg.sig_test()
nonparametric.bandwidths.bw_scott()
nonparametric.bandwidths.bw_silverman()
nonparametric.bandwidths.select_bandwidth()
nonparametric.kde.KDEUnivariate()
nonparametric.kernel_density.EstimatorSettings()
nonparametric.kernel_density.KDEMultivariate()
nonparametric.kernel_density.KDEMultivariateConditional()
nonparametric.kernel_regression.KernelCensoredReg()
nonparametric.kernel_regression.KernelReg()
nonparametric.smoothers_lowess.lowess()
Other Models
PoissonGMLE.expandparams()
PoissonGMLE.fit()
PoissonGMLE.from_formula()
PoissonGMLE.hessian()
PoissonGMLE.hessian_factor()
PoissonGMLE.information()
PoissonGMLE.initialize()
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.hessian_factor()
PoissonOffsetGMLE.information()
PoissonOffsetGMLE.initialize()
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.hessian_factor()
PoissonZiGMLE.information()
PoissonZiGMLE.initialize()
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.hessian_factor()
TLinearModel.information()
TLinearModel.initialize()
TLinearModel.loglike()
TLinearModel.loglikeobs()
TLinearModel.nloglike()
TLinearModel.nloglikeobs()
TLinearModel.predict()
TLinearModel.reduceparams()
TLinearModel.score()
TLinearModel.score_obs()
miscmodels.count.PoissonGMLE()
miscmodels.count.PoissonOffsetGMLE()
miscmodels.count.PoissonZiGMLE()
miscmodels.tmodel.TLinearModel()
Linear Mixed Effects Models
MixedLM.fit()
MixedLM.fit_regularized()
MixedLM.from_formula()
MixedLM.get_fe_params()
MixedLM.get_scale()
MixedLM.group_list()
MixedLM.hessian()
MixedLM.information()
MixedLM.initialize()
MixedLM.loglike()
MixedLM.predict()
MixedLM.score()
MixedLM.score_full()
MixedLM.score_sqrt()
MixedLMResults.aic()
MixedLMResults.bic()
MixedLMResults.bootstrap()
MixedLMResults.bse()
MixedLMResults.bse_fe()
MixedLMResults.bse_re()
MixedLMResults.bsejac()
MixedLMResults.bsejhj()
MixedLMResults.conf_int()
MixedLMResults.cov_params()
MixedLMResults.covjac()
MixedLMResults.covjhj()
MixedLMResults.df_modelwc()
MixedLMResults.f_test()
MixedLMResults.fittedvalues()
MixedLMResults.get_nlfun()
MixedLMResults.hessv()
MixedLMResults.initialize()
MixedLMResults.llf()
MixedLMResults.load()
MixedLMResults.normalized_cov_params()
MixedLMResults.predict()
MixedLMResults.profile_re()
MixedLMResults.pvalues()
MixedLMResults.random_effects()
MixedLMResults.random_effects_cov()
MixedLMResults.remove_data()
MixedLMResults.resid()
MixedLMResults.save()
MixedLMResults.score_obsv()
MixedLMResults.summary()
MixedLMResults.t_test()
MixedLMResults.t_test_pairwise()
MixedLMResults.tvalues()
MixedLMResults.wald_test()
MixedLMResults.wald_test_terms()
regression.mixed_linear_model.MixedLM()
regression.mixed_linear_model.MixedLMResults()
Sandbox
SUR.fit()
SUR.initialize()
SUR.predict()
SUR.whiten()
Sem2SLS.fit()
Sem2SLS.whiten()
sandbox.descstats.descstats()
sandbox.descstats.sign_test()
sandbox.regression.anova_nistcertified.anova_ols()
sandbox.regression.anova_nistcertified.anova_oneway()
sandbox.regression.try_catdata.cat2dummy()
sandbox.regression.try_catdata.convertlabels()
sandbox.regression.try_catdata.groupsstats_1d()
sandbox.regression.try_catdata.groupsstats_dummy()
sandbox.regression.try_catdata.groupstatsbin()
sandbox.regression.try_catdata.labelmeanfilter()
sandbox.regression.try_catdata.labelmeanfilter_nd()
sandbox.regression.try_catdata.labelmeanfilter_str()
sandbox.regression.try_ols_anova.data2dummy()
sandbox.regression.try_ols_anova.data2groupcont()
sandbox.regression.try_ols_anova.data2proddummy()
sandbox.regression.try_ols_anova.dropname()
sandbox.regression.try_ols_anova.form2design()
sandbox.sysreg.SUR()
sandbox.sysreg.Sem2SLS()
sandbox.tsa.movstat.movmean()
sandbox.tsa.movstat.movmoment()
sandbox.tsa.movstat.movorder()
sandbox.tsa.movstat.movvar()
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()
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()
stats.contingency_tables.SquareTable()
stats.contingency_tables.StratifiedTable()
stats.contingency_tables.Table()
stats.contingency_tables.Table2x2()
stats.contingency_tables.cochrans_q()
stats.contingency_tables.mcnemar()
Tools
tools.eval_measures.aic()
tools.eval_measures.aic_sigma()
tools.eval_measures.aicc()
tools.eval_measures.aicc_sigma()
tools.eval_measures.bias()
tools.eval_measures.bic()
tools.eval_measures.bic_sigma()
tools.eval_measures.hqic()
tools.eval_measures.hqic_sigma()
tools.eval_measures.iqr()
tools.eval_measures.maxabs()
tools.eval_measures.meanabs()
tools.eval_measures.medianabs()
tools.eval_measures.medianbias()
tools.eval_measures.mse()
tools.eval_measures.rmse()
tools.eval_measures.stde()
tools.eval_measures.vare()
tools.numdiff.approx_fprime()
tools.numdiff.approx_fprime_cs()
tools.numdiff.approx_hess1()
tools.numdiff.approx_hess2()
tools.numdiff.approx_hess3()
tools.numdiff.approx_hess_cs()
tools.tools.add_constant()
tools.tools.categorical()
tools.tools.clean0()
tools.tools.fullrank()
tools.tools.isestimable()
tools.tools.recipr()
tools.tools.recipr0()
tools.tools.unsqueeze()
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