Index _ | A | B | C | D | E | F | G | H | I | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z _ __init__() (pystatistics.gam.GAMSolution method) (pystatistics.gam.SmoothTerm method) (pystatistics.multinomial.MultinomialSolution method) _level_names (pystatistics.ordinal.OrdinalSolution attribute) _names (pystatistics.ordinal.OrdinalSolution attribute) _result (pystatistics.multinomial.MultinomialSolution attribute) (pystatistics.ordinal.OrdinalSolution attribute) A acf (pystatistics.timeseries.ACFParams attribute), [1] (pystatistics.timeseries.ACFSolution attribute) (pystatistics.timeseries.ACFSolution property) acf() (in module pystatistics.timeseries) ACFParams (class in pystatistics.timeseries) ACFSolution (class in pystatistics.timeseries) adf_test() (in module pystatistics.timeseries) adjusted_r_squared (pystatistics.regression.LinearSolution property) aic (pystatistics.gam.GAMParams attribute), [1] (pystatistics.gam.GAMSolution property) (pystatistics.mixed.GLMMSolution property) (pystatistics.mixed.GRMSolution property) (pystatistics.mixed.LMMSolution property) (pystatistics.multinomial.MultinomialSolution property) (pystatistics.mvnmle.MVNSolution property) (pystatistics.ordinal.OrdinalSolution property) (pystatistics.regression.GLMParams attribute) (pystatistics.regression.GLMSolution property) (pystatistics.timeseries.ARIMAParams attribute), [1] (pystatistics.timeseries.ARIMASolution attribute) (pystatistics.timeseries.ARIMASolution property) (pystatistics.timeseries.ETSParams attribute), [1] (pystatistics.timeseries.ETSSolution property) aic() (pystatistics.regression.Family method) (pystatistics.regression.GammaFamily method) (pystatistics.regression.Gaussian method) aicc (pystatistics.timeseries.ARIMAParams attribute), [1] (pystatistics.timeseries.ARIMASolution attribute) (pystatistics.timeseries.ARIMASolution property) (pystatistics.timeseries.ETSParams attribute), [1] (pystatistics.timeseries.ETSSolution property) alpha (pystatistics.mvnmle.MCARTestSolution attribute) (pystatistics.timeseries.ETSParams attribute), [1] (pystatistics.timeseries.ETSSolution property) alternative (pystatistics.hypothesis.HTestParams attribute), [1] (pystatistics.hypothesis.HTestSolution property) (pystatistics.hypothesis.HypothesisDesign property) (pystatistics.timeseries.StationarityParams attribute), [1] (pystatistics.timeseries.StationaritySolution attribute) (pystatistics.timeseries.StationaritySolution property) analyze_patterns() (in module pystatistics.mvnmle) anova() (in module pystatistics.anova) anova_oneway() (in module pystatistics.anova) anova_posthoc() (in module pystatistics.anova) anova_rm() (in module pystatistics.anova) AnovaRMSolution (class in pystatistics.anova) AnovaSolution (class in pystatistics.anova) ar (pystatistics.timeseries.ARIMAParams attribute), [1] (pystatistics.timeseries.ARIMASolution attribute) (pystatistics.timeseries.ARIMASolution property) (pystatistics.timeseries.ARMABatchParams attribute), [1] (pystatistics.timeseries.ARMABatchSolution attribute) (pystatistics.timeseries.ARMABatchSolution property) arima() (in module pystatistics.timeseries) arima_batch() (in module pystatistics.timeseries) ARIMAForecast (class in pystatistics.timeseries) ARIMAParams (class in pystatistics.timeseries) ARIMASolution (class in pystatistics.timeseries) ARMABatchParams (class in pystatistics.timeseries) ARMABatchSolution (class in pystatistics.timeseries) auto_arima() (in module pystatistics.timeseries) AutoARIMAParams (class in pystatistics.timeseries) AutoARIMASolution (class in pystatistics.timeseries) B backend_name (pystatistics.anova.AnovaSolution property) (pystatistics.core.Result attribute), [1] (pystatistics.descriptive.DescriptiveSolution property) (pystatistics.gam.GAMParams attribute), [1] (pystatistics.hypothesis.HTestSolution property) (pystatistics.mixed.GRMSolution property) (pystatistics.multivariate.FactorSolution property) (pystatistics.multivariate.PCASolution property) (pystatistics.mvnmle.MVNSolution property) (pystatistics.ordinal.OrdinalSolution property) (pystatistics.regression.GLMSolution property) (pystatistics.regression.LinearSolution property) (pystatistics.survival.CoxSolution property) (pystatistics.survival.DiscreteTimeSolution property) (pystatistics.survival.KMSolution property) (pystatistics.survival.LogRankSolution property) (pystatistics.timeseries.ACFSolution property) (pystatistics.timeseries.ARIMASolution property) (pystatistics.timeseries.ARMABatchSolution property) (pystatistics.timeseries.AutoARIMASolution property) (pystatistics.timeseries.DecompositionSolution property) (pystatistics.timeseries.ETSSolution property) (pystatistics.timeseries.StationaritySolution property) baseline_hazard (pystatistics.survival.DiscreteTimeSolution property) basis_type (pystatistics.gam.SmoothInfo attribute), [1] best_aic (pystatistics.timeseries.AutoARIMAParams attribute), [1] (pystatistics.timeseries.AutoARIMASolution attribute) (pystatistics.timeseries.AutoARIMASolution property) best_model (pystatistics.timeseries.AutoARIMAParams attribute), [1] (pystatistics.timeseries.AutoARIMASolution attribute) (pystatistics.timeseries.AutoARIMASolution property) best_order (pystatistics.timeseries.AutoARIMAParams attribute), [1] (pystatistics.timeseries.AutoARIMASolution attribute) (pystatistics.timeseries.AutoARIMASolution property) best_seasonal (pystatistics.timeseries.AutoARIMAParams attribute), [1] (pystatistics.timeseries.AutoARIMASolution attribute) (pystatistics.timeseries.AutoARIMASolution property) beta (pystatistics.timeseries.ETSParams attribute), [1] (pystatistics.timeseries.ETSSolution property) bic (pystatistics.mixed.GLMMSolution property) (pystatistics.mixed.GRMSolution property) (pystatistics.mixed.LMMSolution property) (pystatistics.mvnmle.MVNSolution property) (pystatistics.regression.GLMSolution property) (pystatistics.timeseries.ARIMAParams attribute), [1] (pystatistics.timeseries.ARIMASolution attribute) (pystatistics.timeseries.ARIMASolution property) (pystatistics.timeseries.ETSParams attribute), [1] (pystatistics.timeseries.ETSSolution property) Binomial (class in pystatistics.regression) boot() (in module pystatistics.montecarlo) boot_ci() (in module pystatistics.montecarlo) bs (pystatistics.gam.SmoothTerm attribute), [1] build() (pystatistics.core.DataSource class method), [1] (pystatistics.regression.DataSource class method) C C (class in pystatistics.regression) category_names (pystatistics.multinomial.MultinomialSolution property) center (pystatistics.multivariate.PCAParams attribute), [1] (pystatistics.multivariate.PCASolution property) chi_sq (pystatistics.gam.SmoothInfo attribute), [1] (pystatistics.multivariate.FactorParams attribute), [1] (pystatistics.multivariate.FactorSolution property) chisq_test() (in module pystatistics.hypothesis) ci_lower (pystatistics.survival.KMSolution property) (pystatistics.timeseries.ACFParams attribute), [1] (pystatistics.timeseries.ACFSolution attribute) (pystatistics.timeseries.ACFSolution property) ci_upper (pystatistics.survival.KMSolution property) (pystatistics.timeseries.ACFParams attribute), [1] (pystatistics.timeseries.ACFSolution attribute) (pystatistics.timeseries.ACFSolution property) coef (pystatistics.mixed.GRMSolution property) (pystatistics.multinomial.MultinomialSolution property) (pystatistics.ordinal.OrdinalSolution property) (pystatistics.regression.GLMSolution property) (pystatistics.regression.LinearSolution property) (pystatistics.survival.CoxSolution property) (pystatistics.survival.DiscreteTimeSolution property) coef_indices (pystatistics.gam.SmoothInfo attribute), [1] coefficient_matrix (pystatistics.multinomial.MultinomialSolution property) coefficients (pystatistics.gam.GAMParams attribute), [1] (pystatistics.gam.GAMSolution property) (pystatistics.mixed.GLMMSolution property) (pystatistics.mixed.GRMSolution property) (pystatistics.mixed.LMMSolution property) (pystatistics.ordinal.OrdinalSolution property) (pystatistics.regression.GLMParams attribute) (pystatistics.regression.GLMSolution property) (pystatistics.regression.LinearParams attribute) (pystatistics.regression.LinearSolution property) (pystatistics.survival.CoxSolution property) (pystatistics.survival.DiscreteTimeSolution property) columns (pystatistics.descriptive.DescriptiveDesign property) (pystatistics.descriptive.DescriptiveSolution property) communalities (pystatistics.multivariate.FactorParams attribute), [1] (pystatistics.multivariate.FactorSolution property) compare() (pystatistics.mixed.LMMSolution method) comparisons (pystatistics.anova.PostHocSolution property) complete_cases (pystatistics.mvnmle.PatternSummary attribute) complete_cases_percent (pystatistics.mvnmle.PatternSummary attribute) compute_conf_int (pystatistics.hypothesis.HypothesisDesign property) compute_wilcox_ci (pystatistics.hypothesis.HypothesisDesign property) concordance (pystatistics.survival.CoxSolution property) condition_number (pystatistics.core.SingularMatrixError attribute) conf_int (pystatistics.hypothesis.HTestParams attribute), [1] (pystatistics.hypothesis.HTestSolution property) (pystatistics.mixed.GLMMSolution property) (pystatistics.mixed.GRMSolution property) (pystatistics.mixed.LMMSolution property) (pystatistics.multinomial.MultinomialSolution property) (pystatistics.ordinal.OrdinalSolution property) (pystatistics.regression.GLMSolution property) (pystatistics.regression.LinearSolution property) (pystatistics.survival.CoxSolution property) (pystatistics.survival.DiscreteTimeSolution property) (pystatistics.survival.KMSolution property) conf_level (pystatistics.anova.PostHocSolution property) (pystatistics.hypothesis.HTestParams attribute), [1] (pystatistics.hypothesis.HTestSolution property) (pystatistics.hypothesis.HypothesisDesign property) (pystatistics.mixed.GLMMSolution property) (pystatistics.mixed.GRMSolution property) (pystatistics.mixed.LMMSolution property) (pystatistics.multinomial.MultinomialSolution property) (pystatistics.ordinal.OrdinalSolution property) (pystatistics.regression.GLMSolution property) (pystatistics.regression.LinearSolution property) (pystatistics.survival.CoxSolution property) (pystatistics.survival.DiscreteTimeSolution property) (pystatistics.survival.KMSolution property) (pystatistics.timeseries.ACFParams attribute), [1] (pystatistics.timeseries.ACFSolution attribute) (pystatistics.timeseries.ACFSolution property) conf_type (pystatistics.survival.KMSolution property) converged (pystatistics.gam.GAMParams attribute), [1] (pystatistics.gam.GAMSolution property) (pystatistics.mixed.GLMMSolution property) (pystatistics.mixed.GRMSolution property) (pystatistics.mixed.LMMSolution property) (pystatistics.multinomial.MultinomialSolution property) (pystatistics.multivariate.FactorParams attribute), [1] (pystatistics.multivariate.FactorSolution property) (pystatistics.mvnmle.MVNParams attribute) (pystatistics.mvnmle.MVNSolution property) (pystatistics.ordinal.OrdinalSolution property) (pystatistics.regression.GLMParams attribute) (pystatistics.regression.GLMSolution property) (pystatistics.survival.CoxSolution property) (pystatistics.survival.DiscreteTimeSolution property) (pystatistics.timeseries.ARIMAParams attribute), [1] (pystatistics.timeseries.ARIMASolution attribute) (pystatistics.timeseries.ARIMASolution property) (pystatistics.timeseries.ARMABatchParams attribute), [1] (pystatistics.timeseries.ARMABatchSolution attribute) (pystatistics.timeseries.ARMABatchSolution property) (pystatistics.timeseries.ETSParams attribute), [1] (pystatistics.timeseries.ETSSolution property) convergence_warnings (pystatistics.mvnmle.MCARTestSolution attribute) ConvergenceError cor() (in module pystatistics.descriptive) correct (pystatistics.hypothesis.HypothesisDesign property) correction (pystatistics.anova.AnovaRMSolution property) correlation_kendall (pystatistics.descriptive.DescriptiveParams attribute) (pystatistics.descriptive.DescriptiveSolution property) correlation_matrix (pystatistics.descriptive.DescriptiveSolution property) (pystatistics.mvnmle.MVNSolution property) correlation_pearson (pystatistics.descriptive.DescriptiveParams attribute) (pystatistics.descriptive.DescriptiveSolution property) correlation_spearman (pystatistics.descriptive.DescriptiveParams attribute) (pystatistics.descriptive.DescriptiveSolution property) cov() (in module pystatistics.descriptive) covariance (pystatistics.gam.GAMParams attribute), [1] (pystatistics.gam.GAMSolution property) covariance_matrix (pystatistics.descriptive.DescriptiveParams attribute) (pystatistics.descriptive.DescriptiveSolution property) coxph() (in module pystatistics.survival) CoxSolution (class in pystatistics.survival) critical_values (pystatistics.timeseries.StationarityParams attribute), [1] (pystatistics.timeseries.StationaritySolution attribute) (pystatistics.timeseries.StationaritySolution property) cumulative_variance_ratio (pystatistics.multivariate.PCASolution property) D damped (pystatistics.timeseries.ETSSpec attribute), [1] data (pystatistics.descriptive.DescriptiveDesign property) (pystatistics.mvnmle.MVNDesign property) (pystatistics.mvnmle.PatternInfo attribute) data_name (pystatistics.hypothesis.HTestParams attribute), [1] (pystatistics.hypothesis.HTestSolution property) (pystatistics.hypothesis.HypothesisDesign property) DataSource (class in pystatistics.core), [1] (class in pystatistics.regression) decompose() (in module pystatistics.timeseries) DecompositionParams (class in pystatistics.timeseries) DecompositionSolution (class in pystatistics.timeseries) describe() (in module pystatistics.descriptive) DescriptiveDesign (class in pystatistics.descriptive) DescriptiveParams (class in pystatistics.descriptive) DescriptiveSolution (class in pystatistics.descriptive) Design (class in pystatistics.regression) deviance (pystatistics.gam.GAMParams attribute), [1] (pystatistics.gam.GAMSolution property) (pystatistics.mixed.GLMMSolution property) (pystatistics.multinomial.MultinomialSolution property) (pystatistics.ordinal.OrdinalSolution property) (pystatistics.regression.GLMParams attribute) (pystatistics.regression.GLMSolution property) deviance() (pystatistics.regression.Binomial method) (pystatistics.regression.Family method) (pystatistics.regression.GammaFamily method) (pystatistics.regression.Gaussian method) (pystatistics.regression.NegativeBinomial method) (pystatistics.regression.Poisson method) deviance_explained (pystatistics.gam.GAMSolution property) device (pystatistics.core.DataSource property), [1] (pystatistics.multivariate.PCASolution property) (pystatistics.regression.DataSource property) df (pystatistics.mvnmle.MCARTestSolution attribute) (pystatistics.survival.LogRankSolution property) df_between (pystatistics.anova.LeveneSolution property) df_null (pystatistics.regression.GLMParams attribute) (pystatistics.regression.GLMSolution property) df_residual (pystatistics.regression.GLMParams attribute) (pystatistics.regression.GLMSolution property) (pystatistics.regression.LinearParams attribute) (pystatistics.regression.LinearSolution property) df_satterthwaite (pystatistics.mixed.LMMSolution property) df_within (pystatistics.anova.LeveneSolution property) diff() (in module pystatistics.timeseries) DimensionError discrete_time() (in module pystatistics.survival) DiscreteTimeSolution (class in pystatistics.survival) dispersion (pystatistics.regression.GLMParams attribute) (pystatistics.regression.GLMSolution property) dispersion_fixed (pystatistics.gam.GAMParams attribute), [1] dispersion_is_fixed (pystatistics.regression.Binomial property) (pystatistics.regression.Family property) (pystatistics.regression.GammaFamily property) (pystatistics.regression.Gaussian property) (pystatistics.regression.NegativeBinomial property) (pystatistics.regression.Poisson property) dist_params (pystatistics.hypothesis.HypothesisDesign property) distribution (pystatistics.hypothesis.HypothesisDesign property) dof (pystatistics.multivariate.FactorParams attribute), [1] (pystatistics.multivariate.FactorSolution property) E edf (pystatistics.gam.GAMParams attribute), [1] (pystatistics.gam.GAMSolution property) (pystatistics.gam.SmoothInfo attribute), [1] error (pystatistics.timeseries.ETSSpec attribute), [1] estimate (pystatistics.hypothesis.HTestParams attribute), [1] (pystatistics.hypothesis.HTestSolution property) eta_squared (pystatistics.anova.AnovaRMSolution property) (pystatistics.anova.AnovaSolution property) ets() (in module pystatistics.timeseries) ETSForecast (class in pystatistics.timeseries) ETSParams (class in pystatistics.timeseries) ETSSolution (class in pystatistics.timeseries) ETSSpec (class in pystatistics.timeseries) exact (pystatistics.hypothesis.HypothesisDesign property) expected (pystatistics.hypothesis.HTestSolution property) (pystatistics.survival.LogRankSolution property) expected_p (pystatistics.hypothesis.HypothesisDesign property) expected_rank (pystatistics.core.SingularMatrixError attribute) explained_variance_ratio (pystatistics.multivariate.PCASolution property) extras (pystatistics.hypothesis.HTestParams attribute), [1] (pystatistics.hypothesis.HTestSolution property) F f_value (pystatistics.anova.LeveneSolution property) factor (pystatistics.anova.PostHocSolution property) factor_analysis() (in module pystatistics.multivariate) FactorParams (class in pystatistics.multivariate) FactorSolution (class in pystatistics.multivariate) Family (class in pystatistics.regression) family_name (pystatistics.gam.GAMParams attribute), [1] (pystatistics.regression.GLMParams attribute) (pystatistics.regression.GLMSolution property) feature_names (pystatistics.multinomial.MultinomialSolution property) final_change (pystatistics.core.ConvergenceError attribute) fisher_test() (in module pystatistics.hypothesis) fit() (in module pystatistics.regression) fitted (pystatistics.timeseries.ETSForecast attribute), [1] fitted_probs (pystatistics.multinomial.MultinomialSolution property) (pystatistics.ordinal.OrdinalSolution property) fitted_values (pystatistics.gam.GAMParams attribute), [1] (pystatistics.gam.GAMSolution property) (pystatistics.mixed.GLMMSolution property) (pystatistics.mixed.GRMSolution property) (pystatistics.mixed.LMMSolution property) (pystatistics.regression.GLMParams attribute) (pystatistics.regression.GLMSolution property) (pystatistics.regression.LinearParams attribute) (pystatistics.regression.LinearSolution property) (pystatistics.timeseries.ARIMAParams attribute), [1] (pystatistics.timeseries.ARIMASolution attribute) (pystatistics.timeseries.ARIMASolution property) (pystatistics.timeseries.ETSParams attribute), [1] (pystatistics.timeseries.ETSSolution property) fixef (pystatistics.mixed.GLMMSolution property) (pystatistics.mixed.LMMSolution property) for_chisq_test() (pystatistics.hypothesis.HypothesisDesign class method) for_fisher_test() (pystatistics.hypothesis.HypothesisDesign class method) for_ks_test() (pystatistics.hypothesis.HypothesisDesign class method) for_prop_test() (pystatistics.hypothesis.HypothesisDesign class method) for_t_test() (pystatistics.hypothesis.HypothesisDesign class method) for_var_test() (pystatistics.hypothesis.HypothesisDesign class method) for_wilcox_test() (pystatistics.hypothesis.HypothesisDesign class method) forecast_arima() (in module pystatistics.timeseries) forecast_ets() (in module pystatistics.timeseries) from_array() (pystatistics.descriptive.DescriptiveDesign class method) (pystatistics.mvnmle.MVNDesign class method) from_arrays() (pystatistics.core.DataSource class method), [1] (pystatistics.regression.DataSource class method) (pystatistics.regression.Design class method) from_dataframe() (pystatistics.core.DataSource class method), [1] (pystatistics.regression.DataSource class method) from_datasource() (pystatistics.descriptive.DescriptiveDesign class method) (pystatistics.mvnmle.MVNDesign class method) (pystatistics.regression.Design class method) from_file() (pystatistics.core.DataSource class method), [1] (pystatistics.regression.DataSource class method) from_tensors() (pystatistics.core.DataSource class method), [1] (pystatistics.regression.DataSource class method) G gam() (in module pystatistics.gam) gamma (pystatistics.timeseries.ETSParams attribute), [1] (pystatistics.timeseries.ETSSolution property) GammaFamily (class in pystatistics.regression) GAMParams (class in pystatistics.gam) GAMSolution (class in pystatistics.gam) Gaussian (class in pystatistics.regression) gcv (pystatistics.gam.GAMParams attribute), [1] (pystatistics.gam.GAMSolution property) genetic_values (pystatistics.mixed.GRMSolution property) glm_aic (pystatistics.survival.DiscreteTimeSolution property) glm_deviance (pystatistics.survival.DiscreteTimeSolution property) glmm() (in module pystatistics.mixed) GLMMSolution (class in pystatistics.mixed) GLMParams (class in pystatistics.regression) GLMSolution (class in pystatistics.regression) gradient_norm (pystatistics.mvnmle.MVNParams attribute) (pystatistics.mvnmle.MVNSolution property) grand_mean (pystatistics.anova.AnovaSolution property) grm_lmm() (in module pystatistics.mixed) GRMSolution (class in pystatistics.mixed) group_labels (pystatistics.survival.LogRankSolution property) group_means (pystatistics.anova.AnovaSolution property) group_vars (pystatistics.anova.LeveneSolution property) H h (pystatistics.timeseries.ARIMAForecast attribute), [1] (pystatistics.timeseries.ETSForecast attribute), [1] has_missing (pystatistics.descriptive.DescriptiveDesign property) (pystatistics.mvnmle.MVNDesign property) has_warning() (pystatistics.core.Result method) hazard_ratios (pystatistics.survival.CoxSolution property) (pystatistics.survival.DiscreteTimeSolution property) heritability (pystatistics.mixed.GRMSolution property) hr (pystatistics.survival.CoxSolution property) (pystatistics.survival.DiscreteTimeSolution property) HTestParams (class in pystatistics.hypothesis) HTestSolution (class in pystatistics.hypothesis) HypothesisDesign (class in pystatistics.hypothesis) I ic_param_count (pystatistics.regression.GLMParams attribute) icc (pystatistics.mixed.GLMMSolution property) (pystatistics.mixed.LMMSolution property) info (pystatistics.anova.AnovaRMSolution property) (pystatistics.anova.AnovaSolution property) (pystatistics.core.Result attribute), [1] (pystatistics.descriptive.DescriptiveSolution property) (pystatistics.hypothesis.HTestSolution property) (pystatistics.multivariate.FactorSolution property) (pystatistics.multivariate.PCASolution property) (pystatistics.mvnmle.MVNSolution property) (pystatistics.ordinal.OrdinalSolution property) (pystatistics.regression.GLMSolution property) (pystatistics.regression.LinearSolution property) (pystatistics.timeseries.ACFSolution property) (pystatistics.timeseries.ARIMASolution property) (pystatistics.timeseries.ARMABatchSolution property) (pystatistics.timeseries.AutoARIMASolution property) (pystatistics.timeseries.DecompositionSolution property) (pystatistics.timeseries.ETSSolution property) (pystatistics.timeseries.StationaritySolution property) init_level (pystatistics.timeseries.ETSParams attribute), [1] (pystatistics.timeseries.ETSSolution property) init_season (pystatistics.timeseries.ETSParams attribute), [1] (pystatistics.timeseries.ETSSolution property) init_trend (pystatistics.timeseries.ETSParams attribute), [1] (pystatistics.timeseries.ETSSolution property) initialize() (pystatistics.regression.Binomial method) (pystatistics.regression.Family method) (pystatistics.regression.GammaFamily method) (pystatistics.regression.Gaussian method) (pystatistics.regression.NegativeBinomial method) (pystatistics.regression.Poisson method) interval_labels (pystatistics.survival.DiscreteTimeSolution property) is_monotone() (in module pystatistics.mvnmle) is_singular (pystatistics.mixed.LMMSolution property) iterations (pystatistics.core.ConvergenceError attribute) K k (pystatistics.gam.SmoothInfo attribute), [1] (pystatistics.gam.SmoothTerm attribute), [1] kaplan_meier() (in module pystatistics.survival) keys() (pystatistics.core.DataSource method), [1] (pystatistics.regression.DataSource method) KMSolution (class in pystatistics.survival) kpss_test() (in module pystatistics.timeseries) ks_test() (in module pystatistics.hypothesis) kurtosis (pystatistics.descriptive.DescriptiveParams attribute) (pystatistics.descriptive.DescriptiveSolution property) L lags (pystatistics.timeseries.ACFParams attribute), [1] (pystatistics.timeseries.ACFSolution attribute) (pystatistics.timeseries.ACFSolution property) lambda_ (pystatistics.gam.SmoothInfo attribute), [1] lambdas (pystatistics.gam.GAMParams attribute), [1] (pystatistics.gam.GAMSolution property) levene_test() (in module pystatistics.anova) LeveneSolution (class in pystatistics.anova) linear_predictor (pystatistics.gam.GAMParams attribute), [1] (pystatistics.mixed.GLMMSolution property) (pystatistics.regression.GLMParams attribute) (pystatistics.regression.GLMSolution property) LinearParams (class in pystatistics.regression) LinearSolution (class in pystatistics.regression) link (pystatistics.ordinal.OrdinalSolution property) (pystatistics.regression.Family property) link_name (pystatistics.gam.GAMParams attribute), [1] (pystatistics.regression.GLMParams attribute) (pystatistics.regression.GLMSolution property) little_mcar_test() (in module pystatistics.mvnmle) lmm() (in module pystatistics.mixed) LMMSolution (class in pystatistics.mixed) loadings (pystatistics.multivariate.FactorParams attribute), [1] (pystatistics.multivariate.FactorSolution property) location (pystatistics.anova.LeveneSolution property) log_likelihood (pystatistics.gam.GAMParams attribute), [1] (pystatistics.mixed.GLMMSolution property) (pystatistics.mixed.GRMSolution property) (pystatistics.mixed.LMMSolution property) (pystatistics.multinomial.MultinomialSolution property) (pystatistics.ordinal.OrdinalSolution property) (pystatistics.timeseries.ARIMAParams attribute), [1] (pystatistics.timeseries.ARIMASolution attribute) (pystatistics.timeseries.ARIMASolution property) (pystatistics.timeseries.ETSParams attribute), [1] (pystatistics.timeseries.ETSSolution property) log_likelihood() (pystatistics.regression.Binomial method) (pystatistics.regression.Family method) (pystatistics.regression.GammaFamily method) (pystatistics.regression.Gaussian method) (pystatistics.regression.NegativeBinomial method) (pystatistics.regression.Poisson method) loglik (pystatistics.mvnmle.MVNParams attribute) (pystatistics.mvnmle.MVNSolution property) (pystatistics.survival.CoxSolution property) LogRankSolution (class in pystatistics.survival) lower (pystatistics.timeseries.ARIMAForecast attribute), [1] (pystatistics.timeseries.ETSForecast attribute), [1] M ma (pystatistics.timeseries.ARIMAParams attribute), [1] (pystatistics.timeseries.ARIMASolution attribute) (pystatistics.timeseries.ARIMASolution property) (pystatistics.timeseries.ARMABatchParams attribute), [1] (pystatistics.timeseries.ARMABatchSolution attribute) (pystatistics.timeseries.ARMABatchSolution property) mae (pystatistics.timeseries.ETSParams attribute), [1] (pystatistics.timeseries.ETSSolution property) matrix_name (pystatistics.core.NotPositiveDefiniteError attribute) (pystatistics.core.SingularMatrixError attribute) MCARTestSolution (class in pystatistics.mvnmle) mean (pystatistics.descriptive.DescriptiveParams attribute) (pystatistics.descriptive.DescriptiveSolution property) (pystatistics.timeseries.ARIMAForecast attribute), [1] (pystatistics.timeseries.ARIMAParams attribute), [1] (pystatistics.timeseries.ARIMASolution attribute) (pystatistics.timeseries.ARIMASolution property) (pystatistics.timeseries.ARMABatchParams attribute), [1] (pystatistics.timeseries.ARMABatchSolution attribute) (pystatistics.timeseries.ARMABatchSolution property) (pystatistics.timeseries.ETSForecast attribute), [1] median_survival (pystatistics.survival.KMSolution property) metadata (pystatistics.core.DataSource property), [1] (pystatistics.regression.DataSource property) method (pystatistics.anova.PostHocSolution property) (pystatistics.gam.GAMParams attribute), [1] (pystatistics.hypothesis.HTestParams attribute), [1] (pystatistics.hypothesis.HTestSolution property) (pystatistics.multivariate.FactorParams attribute), [1] (pystatistics.multivariate.FactorSolution property) (pystatistics.mvnmle.MCARTestSolution attribute) (pystatistics.timeseries.ARIMAParams attribute), [1] (pystatistics.timeseries.ARIMASolution attribute) (pystatistics.timeseries.ARIMASolution property) (pystatistics.timeseries.ARMABatchParams attribute), [1] (pystatistics.timeseries.ARMABatchSolution attribute) (pystatistics.timeseries.ARMABatchSolution property) (pystatistics.timeseries.DecompositionParams attribute), [1] (pystatistics.timeseries.DecompositionSolution attribute) (pystatistics.timeseries.DecompositionSolution property) (pystatistics.timeseries.StationarityParams attribute), [1] (pystatistics.timeseries.StationaritySolution attribute) (pystatistics.timeseries.StationaritySolution property) min_eigenvalue (pystatistics.core.NotPositiveDefiniteError attribute) missing_indices (pystatistics.mvnmle.PatternInfo attribute) missing_rate (pystatistics.mvnmle.MVNDesign property) ml_cov (pystatistics.mvnmle.MCARTestSolution attribute) ml_mean (pystatistics.mvnmle.MCARTestSolution attribute) mlest() (in module pystatistics.mvnmle) mlest_monotone_closed_form() (in module pystatistics.mvnmle) model (pystatistics.timeseries.ETSForecast attribute), [1] models_fitted (pystatistics.timeseries.AutoARIMAParams attribute), [1] (pystatistics.timeseries.AutoARIMASolution attribute) (pystatistics.timeseries.AutoARIMASolution property) module pystatistics.anova pystatistics.core pystatistics.descriptive pystatistics.gam pystatistics.hypothesis pystatistics.mixed pystatistics.montecarlo pystatistics.multinomial pystatistics.multivariate pystatistics.mvnmle pystatistics.ordinal pystatistics.regression pystatistics.survival pystatistics.timeseries monotone_permutation() (in module pystatistics.mvnmle) most_common_pattern (pystatistics.mvnmle.PatternSummary attribute) mse (pystatistics.timeseries.ETSParams attribute), [1] (pystatistics.timeseries.ETSSolution property) mu (pystatistics.hypothesis.HypothesisDesign property) muhat (pystatistics.mvnmle.MVNParams attribute) (pystatistics.mvnmle.MVNSolution property) multinom() (in module pystatistics.multinomial) MultinomialSolution (class in pystatistics.multinomial) MVNDesign (class in pystatistics.mvnmle) MVNParams (class in pystatistics.mvnmle) MVNSolution (class in pystatistics.mvnmle) N n (pystatistics.descriptive.DescriptiveDesign property) (pystatistics.mvnmle.MVNDesign property) (pystatistics.regression.Design property) n_cases (pystatistics.mvnmle.PatternInfo attribute) n_censored (pystatistics.survival.KMSolution property) n_classes (pystatistics.multinomial.MultinomialSolution property) n_complete (pystatistics.descriptive.DescriptiveParams attribute) (pystatistics.descriptive.DescriptiveSolution property) n_events (pystatistics.survival.CoxSolution property) (pystatistics.survival.DiscreteTimeSolution property) (pystatistics.survival.KMSolution property) n_events_total (pystatistics.survival.KMSolution property) n_factors (pystatistics.multivariate.FactorParams attribute), [1] (pystatistics.multivariate.FactorSolution property) n_groups (pystatistics.survival.LogRankSolution property) n_ic_dispersion_params (pystatistics.regression.Family property) (pystatistics.regression.GammaFamily property) (pystatistics.regression.Gaussian property) n_intervals (pystatistics.survival.DiscreteTimeSolution property) n_iter (pystatistics.gam.GAMParams attribute), [1] (pystatistics.gam.GAMSolution property) (pystatistics.mixed.GLMMSolution property) (pystatistics.mixed.GRMSolution property) (pystatistics.mixed.LMMSolution property) (pystatistics.multinomial.MultinomialSolution property) (pystatistics.multivariate.FactorParams attribute), [1] (pystatistics.multivariate.FactorSolution property) (pystatistics.mvnmle.MVNParams attribute) (pystatistics.mvnmle.MVNSolution property) (pystatistics.ordinal.OrdinalSolution property) (pystatistics.regression.GLMParams attribute) (pystatistics.regression.GLMSolution property) (pystatistics.survival.CoxSolution property) (pystatistics.survival.DiscreteTimeSolution property) (pystatistics.timeseries.ARIMAParams attribute), [1] (pystatistics.timeseries.ARIMASolution attribute) (pystatistics.timeseries.ARIMASolution property) (pystatistics.timeseries.ARMABatchParams attribute), [1] (pystatistics.timeseries.ARMABatchSolution attribute) (pystatistics.timeseries.ARMABatchSolution property) n_lags (pystatistics.timeseries.StationarityParams attribute), [1] (pystatistics.timeseries.StationaritySolution attribute) (pystatistics.timeseries.StationaritySolution property) n_missing (pystatistics.descriptive.DescriptiveDesign property) (pystatistics.mvnmle.MVNDesign property) (pystatistics.mvnmle.PatternInfo property) n_monte_carlo (pystatistics.hypothesis.HypothesisDesign property) n_obs (pystatistics.anova.AnovaRMSolution property) (pystatistics.anova.AnovaSolution property) (pystatistics.gam.GAMParams attribute), [1] (pystatistics.multinomial.MultinomialSolution property) (pystatistics.multivariate.FactorParams attribute), [1] (pystatistics.multivariate.FactorSolution property) (pystatistics.multivariate.PCAParams attribute), [1] (pystatistics.multivariate.PCASolution property) (pystatistics.ordinal.OrdinalSolution property) (pystatistics.timeseries.ACFParams attribute), [1] (pystatistics.timeseries.ACFSolution attribute) (pystatistics.timeseries.ACFSolution property) (pystatistics.timeseries.ARIMAParams attribute), [1] (pystatistics.timeseries.ARIMASolution attribute) (pystatistics.timeseries.ARIMASolution property) (pystatistics.timeseries.ETSParams attribute), [1] (pystatistics.timeseries.ETSSolution property) (pystatistics.timeseries.StationarityParams attribute), [1] (pystatistics.timeseries.StationaritySolution attribute) (pystatistics.timeseries.StationaritySolution property) n_observations (pystatistics.core.DataSource property), [1] (pystatistics.regression.DataSource property) (pystatistics.survival.CoxSolution property) (pystatistics.survival.DiscreteTimeSolution property) (pystatistics.survival.KMSolution property) n_observed (pystatistics.mvnmle.PatternInfo property) n_params (pystatistics.timeseries.ARIMASolution property) (pystatistics.timeseries.ETSParams attribute), [1] (pystatistics.timeseries.ETSSolution property) (pystatistics.timeseries.ETSSpec property) n_patterns (pystatistics.mvnmle.MCARTestSolution attribute) (pystatistics.mvnmle.PatternSummary attribute) n_patterns_used (pystatistics.mvnmle.MCARTestSolution attribute) n_per_group (pystatistics.survival.LogRankSolution property) n_risk (pystatistics.survival.KMSolution property) n_series (pystatistics.timeseries.ARMABatchParams attribute), [1] (pystatistics.timeseries.ARMABatchSolution attribute) (pystatistics.timeseries.ARMABatchSolution property) n_states (pystatistics.timeseries.ETSSpec property) n_subjects (pystatistics.anova.AnovaRMSolution property) n_used (pystatistics.timeseries.ARIMAParams attribute), [1] (pystatistics.timeseries.ARIMASolution attribute) (pystatistics.timeseries.ARIMASolution property) (pystatistics.timeseries.ARMABatchParams attribute), [1] (pystatistics.timeseries.ARMABatchSolution attribute) (pystatistics.timeseries.ARMABatchSolution property) n_vars (pystatistics.multivariate.FactorParams attribute), [1] (pystatistics.multivariate.FactorSolution property) (pystatistics.multivariate.PCAParams attribute), [1] (pystatistics.multivariate.PCASolution property) name (pystatistics.regression.Binomial property) (pystatistics.regression.C attribute) (pystatistics.regression.Family property) (pystatistics.regression.GammaFamily property) (pystatistics.regression.Gaussian property) (pystatistics.regression.NegativeBinomial property) (pystatistics.regression.Poisson property) (pystatistics.timeseries.ETSSpec property) names (pystatistics.regression.Design property) ndiffs() (in module pystatistics.timeseries) NegativeBinomial (class in pystatistics.regression) NotPositiveDefiniteError null_deviance (pystatistics.gam.GAMParams attribute), [1] (pystatistics.gam.GAMSolution property) (pystatistics.multinomial.MultinomialSolution property) (pystatistics.regression.GLMParams attribute) (pystatistics.regression.GLMSolution property) null_value (pystatistics.hypothesis.HTestParams attribute), [1] (pystatistics.hypothesis.HTestSolution property) NumericalError O objective (pystatistics.multivariate.FactorParams attribute), [1] (pystatistics.multivariate.FactorSolution property) observed (pystatistics.hypothesis.HTestSolution property) (pystatistics.survival.LogRankSolution property) (pystatistics.timeseries.DecompositionParams attribute), [1] (pystatistics.timeseries.DecompositionSolution attribute) (pystatistics.timeseries.DecompositionSolution property) observed_indices (pystatistics.mvnmle.PatternInfo attribute) order (pystatistics.timeseries.ARIMAForecast attribute), [1] (pystatistics.timeseries.ARIMAParams attribute), [1] (pystatistics.timeseries.ARIMASolution attribute) (pystatistics.timeseries.ARIMASolution property) (pystatistics.timeseries.ARMABatchParams attribute), [1] (pystatistics.timeseries.ARMABatchSolution attribute) (pystatistics.timeseries.ARMABatchSolution property) OrdinalSolution (class in pystatistics.ordinal) outer_converged (pystatistics.gam.GAMParams attribute), [1] (pystatistics.gam.GAMSolution property) overall_missing_rate (pystatistics.mvnmle.PatternSummary attribute) P p (pystatistics.descriptive.DescriptiveDesign property) (pystatistics.mvnmle.MVNDesign property) (pystatistics.regression.Design property) p_adjust() (in module pystatistics.hypothesis) p_value (pystatistics.anova.LeveneSolution property) (pystatistics.gam.SmoothInfo attribute), [1] (pystatistics.hypothesis.HTestParams attribute), [1] (pystatistics.hypothesis.HTestSolution property) (pystatistics.multivariate.FactorParams attribute), [1] (pystatistics.multivariate.FactorSolution property) (pystatistics.mvnmle.MCARTestSolution attribute) (pystatistics.survival.LogRankSolution property) (pystatistics.timeseries.StationarityParams attribute), [1] (pystatistics.timeseries.StationaritySolution attribute) (pystatistics.timeseries.StationaritySolution property) p_values (pystatistics.mixed.GLMMSolution property) (pystatistics.mixed.GRMSolution property) (pystatistics.mixed.LMMSolution property) (pystatistics.multinomial.MultinomialSolution property) (pystatistics.ordinal.OrdinalSolution property) (pystatistics.regression.GLMSolution property) (pystatistics.regression.LinearSolution property) (pystatistics.survival.CoxSolution property) (pystatistics.survival.DiscreteTimeSolution property) pacf() (in module pystatistics.timeseries) paired (pystatistics.hypothesis.HypothesisDesign property) pairwise_n (pystatistics.descriptive.DescriptiveParams attribute) (pystatistics.descriptive.DescriptiveSolution property) parameter (pystatistics.hypothesis.HTestParams attribute), [1] (pystatistics.hypothesis.HTestSolution property) params (pystatistics.core.Result attribute), [1] (pystatistics.gam.GAMSolution property) (pystatistics.mixed.GLMMSolution property) (pystatistics.mixed.GRMSolution property) (pystatistics.mixed.LMMSolution property) partial_eta_squared (pystatistics.anova.AnovaRMSolution property) (pystatistics.anova.AnovaSolution property) pattern_id (pystatistics.mvnmle.PatternInfo attribute) pattern_summary() (in module pystatistics.mvnmle) pattern_vector (pystatistics.mvnmle.PatternInfo attribute) PatternInfo (class in pystatistics.mvnmle) patterns (pystatistics.mvnmle.MCARTestSolution attribute) PatternSummary (class in pystatistics.mvnmle) pca() (in module pystatistics.multivariate) PCAParams (class in pystatistics.multivariate) PCASolution (class in pystatistics.multivariate) percent_cases (pystatistics.mvnmle.PatternInfo property) period (pystatistics.timeseries.DecompositionParams attribute), [1] (pystatistics.timeseries.DecompositionSolution attribute) (pystatistics.timeseries.DecompositionSolution property) (pystatistics.timeseries.ETSSpec attribute), [1] permutation_test() (in module pystatistics.montecarlo) person_period_n (pystatistics.survival.DiscreteTimeSolution property) phi (pystatistics.timeseries.ETSParams attribute), [1] (pystatistics.timeseries.ETSSolution property) Poisson (class in pystatistics.regression) polr() (in module pystatistics.ordinal) PostHocSolution (class in pystatistics.anova) predict() (pystatistics.multinomial.MultinomialSolution method) (pystatistics.ordinal.OrdinalSolution method) predicted_class (pystatistics.multinomial.MultinomialSolution property) (pystatistics.ordinal.OrdinalSolution property) prop_test() (in module pystatistics.hypothesis) provenance (pystatistics.core.Result attribute), [1] pseudo_r_squared (pystatistics.multinomial.MultinomialSolution property) pystatistics.anova module pystatistics.core module pystatistics.descriptive module pystatistics.gam module pystatistics.hypothesis module pystatistics.mixed module pystatistics.montecarlo module pystatistics.multinomial module pystatistics.multivariate module pystatistics.mvnmle module pystatistics.ordinal module pystatistics.regression module pystatistics.survival module pystatistics.timeseries module PyStatisticsError Q quantile() (in module pystatistics.descriptive) quantile_probs (pystatistics.descriptive.DescriptiveParams attribute) (pystatistics.descriptive.DescriptiveSolution property) quantile_type (pystatistics.descriptive.DescriptiveParams attribute) (pystatistics.descriptive.DescriptiveSolution property) quantiles (pystatistics.descriptive.DescriptiveParams attribute) (pystatistics.descriptive.DescriptiveSolution property) R r_squared (pystatistics.regression.LinearSolution property) r_squared_adj (pystatistics.gam.GAMSolution property) ranef (pystatistics.mixed.GLMMSolution property) (pystatistics.mixed.LMMSolution property) rank (pystatistics.core.SingularMatrixError attribute) (pystatistics.regression.GLMParams attribute) (pystatistics.regression.GLMSolution property) (pystatistics.regression.LinearParams attribute) (pystatistics.regression.LinearSolution property) ratio (pystatistics.hypothesis.HypothesisDesign property) reason (pystatistics.core.ConvergenceError attribute) ref (pystatistics.regression.C attribute) ref_df (pystatistics.gam.SmoothInfo attribute), [1] rejected (pystatistics.mvnmle.MCARTestSolution attribute) reml_score (pystatistics.gam.GAMParams attribute), [1] (pystatistics.gam.GAMSolution property) rescale_p (pystatistics.hypothesis.HypothesisDesign property) residual (pystatistics.timeseries.DecompositionParams attribute), [1] (pystatistics.timeseries.DecompositionSolution attribute) (pystatistics.timeseries.DecompositionSolution property) residual_df (pystatistics.anova.AnovaSolution property) residual_ms (pystatistics.anova.AnovaSolution property) residual_ss (pystatistics.anova.AnovaSolution property) residual_std_error (pystatistics.regression.LinearSolution property) residuals (pystatistics.gam.GAMParams attribute), [1] (pystatistics.gam.GAMSolution property) (pystatistics.hypothesis.HTestSolution property) (pystatistics.mixed.GLMMSolution property) (pystatistics.mixed.GRMSolution property) (pystatistics.mixed.LMMSolution property) (pystatistics.regression.LinearParams attribute) (pystatistics.regression.LinearSolution property) (pystatistics.timeseries.ARIMAParams attribute), [1] (pystatistics.timeseries.ARIMASolution attribute) (pystatistics.timeseries.ARIMASolution property) (pystatistics.timeseries.ETSParams attribute), [1] (pystatistics.timeseries.ETSSolution property) residuals_deviance (pystatistics.regression.GLMParams attribute) (pystatistics.regression.GLMSolution property) residuals_pearson (pystatistics.regression.GLMParams attribute) (pystatistics.regression.GLMSolution property) residuals_response (pystatistics.regression.GLMParams attribute) (pystatistics.regression.GLMSolution property) residuals_working (pystatistics.regression.GLMParams attribute) (pystatistics.regression.GLMSolution property) Result (class in pystatistics.core) rho (pystatistics.survival.LogRankSolution property) ridge() (in module pystatistics.regression) rotation (pystatistics.multivariate.PCAParams attribute), [1] (pystatistics.multivariate.PCASolution property) rotation_matrix (pystatistics.multivariate.FactorParams attribute), [1] (pystatistics.multivariate.FactorSolution property) rotation_method (pystatistics.multivariate.FactorParams attribute), [1] (pystatistics.multivariate.FactorSolution property) rss (pystatistics.regression.LinearParams attribute) (pystatistics.regression.LinearSolution property) S s() (in module pystatistics.gam) s_scale (pystatistics.gam.SmoothInfo attribute), [1] s_scales (pystatistics.gam.GAMParams attribute), [1] scale (pystatistics.gam.GAMParams attribute), [1] (pystatistics.gam.GAMSolution property) (pystatistics.multivariate.PCAParams attribute), [1] (pystatistics.multivariate.PCASolution property) sd (pystatistics.descriptive.DescriptiveParams attribute) (pystatistics.descriptive.DescriptiveSolution property) sdev (pystatistics.multivariate.PCAParams attribute), [1] (pystatistics.multivariate.PCASolution property) se (pystatistics.gam.GAMSolution property) (pystatistics.survival.KMSolution property) (pystatistics.timeseries.ARIMAForecast attribute), [1] search_results (pystatistics.timeseries.AutoARIMAParams attribute), [1] (pystatistics.timeseries.AutoARIMASolution attribute) (pystatistics.timeseries.AutoARIMASolution property) season (pystatistics.timeseries.ETSSpec attribute), [1] seasonal (pystatistics.timeseries.DecompositionParams attribute), [1] (pystatistics.timeseries.DecompositionSolution attribute) (pystatistics.timeseries.DecompositionSolution property) seasonal_ar (pystatistics.timeseries.ARIMAParams attribute), [1] (pystatistics.timeseries.ARIMASolution attribute) (pystatistics.timeseries.ARIMASolution property) seasonal_ma (pystatistics.timeseries.ARIMAParams attribute), [1] (pystatistics.timeseries.ARIMASolution attribute) (pystatistics.timeseries.ARIMASolution property) seasonal_order (pystatistics.timeseries.ARIMAParams attribute), [1] (pystatistics.timeseries.ARIMASolution attribute) (pystatistics.timeseries.ARIMASolution property) seed (pystatistics.hypothesis.HypothesisDesign property) sigma2 (pystatistics.timeseries.ARIMAParams attribute), [1] (pystatistics.timeseries.ARIMASolution attribute) (pystatistics.timeseries.ARIMASolution property) (pystatistics.timeseries.ARMABatchParams attribute), [1] (pystatistics.timeseries.ARMABatchSolution attribute) (pystatistics.timeseries.ARMABatchSolution property) sigmahat (pystatistics.mvnmle.MVNParams attribute) (pystatistics.mvnmle.MVNSolution property) simulate_p_value (pystatistics.hypothesis.HypothesisDesign property) SingularMatrixError skewness (pystatistics.descriptive.DescriptiveParams attribute) (pystatistics.descriptive.DescriptiveSolution property) smooth_terms (pystatistics.gam.GAMSolution property) SmoothInfo (class in pystatistics.gam) SmoothTerm (class in pystatistics.gam) source (pystatistics.regression.Design property) spec (pystatistics.timeseries.ETSParams attribute), [1] (pystatistics.timeseries.ETSSolution property) sphericity (pystatistics.anova.AnovaRMSolution property) ss_type (pystatistics.anova.AnovaSolution property) standard_deviations (pystatistics.mvnmle.MVNSolution property) standard_errors (pystatistics.mixed.GLMMSolution property) (pystatistics.mixed.GRMSolution property) (pystatistics.mixed.LMMSolution property) (pystatistics.multinomial.MultinomialSolution property) (pystatistics.ordinal.OrdinalSolution property) (pystatistics.regression.GLMSolution property) (pystatistics.regression.LinearSolution property) (pystatistics.survival.CoxSolution property) (pystatistics.survival.DiscreteTimeSolution property) (pystatistics.survival.KMSolution property) states (pystatistics.timeseries.ETSParams attribute), [1] (pystatistics.timeseries.ETSSolution property) StationarityParams (class in pystatistics.timeseries) StationaritySolution (class in pystatistics.timeseries) statistic (pystatistics.hypothesis.HTestParams attribute), [1] (pystatistics.hypothesis.HTestSolution property) (pystatistics.mvnmle.MCARTestSolution attribute) (pystatistics.survival.LogRankSolution property) (pystatistics.timeseries.StationarityParams attribute), [1] (pystatistics.timeseries.StationaritySolution attribute) (pystatistics.timeseries.StationaritySolution property) statistic_name (pystatistics.hypothesis.HTestParams attribute), [1] (pystatistics.hypothesis.HTestSolution property) stdres (pystatistics.hypothesis.HTestSolution property) stl() (in module pystatistics.timeseries) successes (pystatistics.hypothesis.HypothesisDesign property) summary() (in module pystatistics.descriptive) (pystatistics.anova.AnovaRMSolution method) (pystatistics.anova.AnovaSolution method) (pystatistics.anova.LeveneSolution method) (pystatistics.anova.PostHocSolution method) (pystatistics.descriptive.DescriptiveSolution method) (pystatistics.gam.GAMSolution method) (pystatistics.hypothesis.HTestSolution method) (pystatistics.mixed.GLMMSolution method) (pystatistics.mixed.GRMSolution method) (pystatistics.mixed.LMMSolution method) (pystatistics.multinomial.MultinomialSolution method) (pystatistics.multivariate.FactorSolution method) (pystatistics.multivariate.PCASolution method) (pystatistics.mvnmle.MCARTestSolution method) (pystatistics.mvnmle.MVNSolution method) (pystatistics.ordinal.OrdinalSolution method) (pystatistics.regression.GLMSolution method) (pystatistics.regression.LinearSolution method) (pystatistics.survival.CoxSolution method) (pystatistics.survival.DiscreteTimeSolution method) (pystatistics.survival.KMSolution method) (pystatistics.survival.LogRankSolution method) (pystatistics.timeseries.ACFSolution method) (pystatistics.timeseries.ARIMAForecast method) (pystatistics.timeseries.ARIMASolution method) (pystatistics.timeseries.ARMABatchSolution method) (pystatistics.timeseries.AutoARIMASolution method), [1] (pystatistics.timeseries.DecompositionSolution method) (pystatistics.timeseries.ETSForecast method) (pystatistics.timeseries.ETSSolution method) (pystatistics.timeseries.StationaritySolution method) summary_table (pystatistics.descriptive.DescriptiveParams attribute) (pystatistics.descriptive.DescriptiveSolution property) supports() (pystatistics.core.DataSource method), [1] (pystatistics.regression.DataSource method) (pystatistics.regression.Design method) survdiff() (in module pystatistics.survival) survival (pystatistics.survival.KMSolution property) T t_test() (in module pystatistics.hypothesis) t_values (pystatistics.mixed.LMMSolution property) (pystatistics.regression.LinearSolution property) table (pystatistics.anova.AnovaRMSolution property) (pystatistics.anova.AnovaSolution property) (pystatistics.hypothesis.HypothesisDesign property) term_name (pystatistics.gam.SmoothInfo attribute), [1] test_type (pystatistics.hypothesis.HypothesisDesign attribute) threshold (pystatistics.core.ConvergenceError attribute) threshold_standard_errors (pystatistics.ordinal.OrdinalSolution property) threshold_values (pystatistics.ordinal.OrdinalSolution property) threshold_z_values (pystatistics.ordinal.OrdinalSolution property) thresholds (pystatistics.ordinal.OrdinalSolution property) ties (pystatistics.survival.CoxSolution property) time (pystatistics.survival.KMSolution property) timing (pystatistics.anova.AnovaRMSolution property) (pystatistics.anova.AnovaSolution property) (pystatistics.core.Result attribute), [1] (pystatistics.descriptive.DescriptiveSolution property) (pystatistics.hypothesis.HTestSolution property) (pystatistics.multivariate.FactorSolution property) (pystatistics.multivariate.PCASolution property) (pystatistics.mvnmle.MVNSolution property) (pystatistics.ordinal.OrdinalSolution property) (pystatistics.regression.GLMSolution property) (pystatistics.regression.LinearSolution property) (pystatistics.survival.CoxSolution property) (pystatistics.survival.DiscreteTimeSolution property) (pystatistics.survival.KMSolution property) (pystatistics.survival.LogRankSolution property) (pystatistics.timeseries.ACFSolution property) (pystatistics.timeseries.ARIMASolution property) (pystatistics.timeseries.ARMABatchSolution property) (pystatistics.timeseries.AutoARIMASolution property) (pystatistics.timeseries.DecompositionSolution property) (pystatistics.timeseries.ETSSolution property) (pystatistics.timeseries.StationaritySolution property) to() (pystatistics.core.DataSource method), [1] (pystatistics.multivariate.PCASolution method) (pystatistics.regression.DataSource method) to_dict() (pystatistics.mvnmle.MVNSolution method) to_numpy() (pystatistics.multivariate.PCASolution method) total_cases (pystatistics.mvnmle.PatternSummary attribute) total_edf (pystatistics.gam.GAMParams attribute), [1] (pystatistics.gam.GAMSolution property) trend (pystatistics.timeseries.DecompositionParams attribute), [1] (pystatistics.timeseries.DecompositionSolution attribute) (pystatistics.timeseries.DecompositionSolution property) (pystatistics.timeseries.ETSSpec attribute), [1] trials (pystatistics.hypothesis.HypothesisDesign property) tss (pystatistics.regression.LinearParams attribute) (pystatistics.regression.LinearSolution property) type (pystatistics.timeseries.ACFParams attribute), [1] (pystatistics.timeseries.ACFSolution attribute) (pystatistics.timeseries.ACFSolution property) (pystatistics.timeseries.DecompositionParams attribute), [1] (pystatistics.timeseries.DecompositionSolution attribute) (pystatistics.timeseries.DecompositionSolution property) U ubre (pystatistics.gam.GAMParams attribute), [1] (pystatistics.gam.GAMSolution property) uniquenesses (pystatistics.multivariate.FactorParams attribute), [1] (pystatistics.multivariate.FactorSolution property) upper (pystatistics.timeseries.ARIMAForecast attribute), [1] (pystatistics.timeseries.ETSForecast attribute), [1] V ValidationError var() (in module pystatistics.descriptive) var_components (pystatistics.mixed.GLMMSolution property) (pystatistics.mixed.LMMSolution property) var_equal (pystatistics.hypothesis.HypothesisDesign property) var_genetic (pystatistics.mixed.GRMSolution property) var_name (pystatistics.gam.SmoothInfo attribute), [1] (pystatistics.gam.SmoothTerm attribute), [1] var_names (pystatistics.multivariate.FactorParams attribute), [1] (pystatistics.multivariate.FactorSolution property) (pystatistics.multivariate.PCAParams attribute), [1] (pystatistics.multivariate.PCASolution property) var_residual (pystatistics.mixed.GRMSolution property) var_test() (in module pystatistics.hypothesis) variable_missing_rates (pystatistics.mvnmle.PatternSummary attribute) variance (pystatistics.descriptive.DescriptiveParams attribute) (pystatistics.descriptive.DescriptiveSolution property) variance() (pystatistics.regression.Binomial method) (pystatistics.regression.Family method) (pystatistics.regression.GammaFamily method) (pystatistics.regression.Gaussian method) (pystatistics.regression.NegativeBinomial method) (pystatistics.regression.Poisson method) variance_ratio (pystatistics.mixed.GRMSolution property) vcov (pystatistics.multinomial.MultinomialSolution property) (pystatistics.ordinal.OrdinalSolution property) (pystatistics.timeseries.ARIMAParams attribute), [1] (pystatistics.timeseries.ARIMASolution attribute) (pystatistics.timeseries.ARIMASolution property) W warnings (pystatistics.anova.AnovaRMSolution property) (pystatistics.anova.AnovaSolution property) (pystatistics.core.Result attribute), [1] (pystatistics.descriptive.DescriptiveSolution property) (pystatistics.hypothesis.HTestSolution property) (pystatistics.multinomial.MultinomialSolution property) (pystatistics.multivariate.FactorSolution property) (pystatistics.multivariate.PCASolution property) (pystatistics.mvnmle.MVNSolution property) (pystatistics.ordinal.OrdinalSolution property) (pystatistics.regression.GLMSolution property) (pystatistics.regression.LinearSolution property) (pystatistics.survival.CoxSolution property) (pystatistics.survival.DiscreteTimeSolution property) (pystatistics.survival.KMSolution property) (pystatistics.survival.LogRankSolution property) (pystatistics.timeseries.ACFSolution property) (pystatistics.timeseries.ARIMASolution property) (pystatistics.timeseries.ARMABatchSolution property) (pystatistics.timeseries.AutoARIMASolution property) (pystatistics.timeseries.DecompositionSolution property) (pystatistics.timeseries.ETSSolution property) (pystatistics.timeseries.StationaritySolution property) wilcox_test() (in module pystatistics.hypothesis) X x (pystatistics.hypothesis.HypothesisDesign property) (pystatistics.multivariate.PCAParams attribute), [1] (pystatistics.multivariate.PCASolution property) X (pystatistics.regression.Design property) XtX() (pystatistics.regression.Design method) Xty() (pystatistics.regression.Design method) Y y (pystatistics.hypothesis.HypothesisDesign property) (pystatistics.regression.Design property) Z z_values (pystatistics.mixed.GLMMSolution property) (pystatistics.mixed.GRMSolution property) (pystatistics.multinomial.MultinomialSolution property) (pystatistics.ordinal.OrdinalSolution property) (pystatistics.regression.GLMSolution property) (pystatistics.survival.CoxSolution property) (pystatistics.survival.DiscreteTimeSolution property)