Index A | B | C | D | E | F | G | H | I | K | L | M | N | O | P | Q | R | S | T | V | W | X | Y | Z A adjusted_r_squared (pystatistics.regression.LinearSolution property) aic (pystatistics.mixed.GLMMSolution property) (pystatistics.mixed.LMMSolution property) (pystatistics.mvnmle.MVNSolution property) (pystatistics.regression.GLMParams attribute) (pystatistics.regression.GLMSolution property) aic() (pystatistics.regression.Family method) (pystatistics.regression.Gaussian method) alpha (pystatistics.mvnmle.MCARTestResult attribute) alternative (pystatistics.hypothesis.HTestParams attribute), [1] (pystatistics.hypothesis.HTestSolution property) (pystatistics.hypothesis.HypothesisDesign 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) B backend_name (pystatistics.anova.AnovaSolution property) (pystatistics.core.Result attribute), [1] (pystatistics.descriptive.DescriptiveSolution property) (pystatistics.hypothesis.HTestSolution property) (pystatistics.mvnmle.MVNSolution 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) baseline_hazard (pystatistics.survival.DiscreteTimeSolution property) bic (pystatistics.mixed.GLMMSolution property) (pystatistics.mixed.LMMSolution property) (pystatistics.mvnmle.MVNSolution property) (pystatistics.regression.GLMSolution property) Binomial (class in pystatistics.regression) boot() (in module pystatistics.montecarlo) boot_ci() (in module pystatistics.montecarlo) build() (pystatistics.core.DataSource class method), [1] (pystatistics.regression.DataSource class method) C center (pystatistics.anova.LeveneSolution property) chisq_test() (in module pystatistics.hypothesis) ci_lower (pystatistics.survival.KMSolution property) ci_upper (pystatistics.survival.KMSolution property) coefficients (pystatistics.mixed.GLMMSolution property) (pystatistics.mixed.LMMSolution 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) 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) conf_level (pystatistics.anova.PostHocSolution property) (pystatistics.hypothesis.HTestParams attribute), [1] (pystatistics.hypothesis.HTestSolution property) (pystatistics.hypothesis.HypothesisDesign property) (pystatistics.survival.KMSolution property) conf_type (pystatistics.survival.KMSolution property) converged (pystatistics.mixed.GLMMSolution property) (pystatistics.mixed.LMMSolution property) (pystatistics.mvnmle.MVNParams attribute) (pystatistics.mvnmle.MVNSolution property) (pystatistics.regression.GLMParams attribute) (pystatistics.regression.GLMSolution property) (pystatistics.survival.CoxSolution property) convergence_warnings (pystatistics.mvnmle.MCARTestResult 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_matrix (pystatistics.descriptive.DescriptiveParams attribute) (pystatistics.descriptive.DescriptiveSolution property) coxph() (in module pystatistics.survival) CoxSolution (class in pystatistics.survival) D 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) 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.mixed.GLMMSolution property) (pystatistics.regression.GLMParams attribute) (pystatistics.regression.GLMSolution property) deviance() (pystatistics.regression.Binomial method) (pystatistics.regression.Family method) (pystatistics.regression.Gaussian method) (pystatistics.regression.Poisson method) df (pystatistics.mvnmle.MCARTestResult 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) DimensionError discrete_time() (in module pystatistics.survival) DiscreteTimeSolution (class in pystatistics.survival) dispersion (pystatistics.regression.GLMParams attribute) (pystatistics.regression.GLMSolution property) dispersion_is_fixed (pystatistics.regression.Binomial property) (pystatistics.regression.Family property) (pystatistics.regression.Gaussian property) (pystatistics.regression.Poisson property) dist_params (pystatistics.hypothesis.HypothesisDesign property) distribution (pystatistics.hypothesis.HypothesisDesign property) E estimate (pystatistics.hypothesis.HTestParams attribute), [1] (pystatistics.hypothesis.HTestSolution property) eta_squared (pystatistics.anova.AnovaRMSolution property) (pystatistics.anova.AnovaSolution property) 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) extras (pystatistics.hypothesis.HTestParams attribute), [1] (pystatistics.hypothesis.HTestSolution property) F f_value (pystatistics.anova.LeveneSolution property) factor (pystatistics.anova.PostHocSolution property) Family (class in pystatistics.regression) family_name (pystatistics.regression.GLMParams attribute) (pystatistics.regression.GLMSolution property) final_change (pystatistics.core.ConvergenceError attribute) fisher_test() (in module pystatistics.hypothesis) fit() (in module pystatistics.regression) fitted_values (pystatistics.mixed.GLMMSolution property) (pystatistics.mixed.LMMSolution property) (pystatistics.regression.GLMParams attribute) (pystatistics.regression.GLMSolution property) (pystatistics.regression.LinearParams attribute) (pystatistics.regression.LinearSolution 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) 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 Gaussian (class in pystatistics.regression) 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) group_labels (pystatistics.survival.LogRankSolution property) group_means (pystatistics.anova.AnovaSolution property) group_vars (pystatistics.anova.LeveneSolution property) H 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) HTestParams (class in pystatistics.hypothesis) HTestSolution (class in pystatistics.hypothesis) HypothesisDesign (class in pystatistics.hypothesis) I 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.mvnmle.MVNSolution property) (pystatistics.regression.GLMSolution property) (pystatistics.regression.LinearSolution property) initialize() (pystatistics.regression.Binomial method) (pystatistics.regression.Family method) (pystatistics.regression.Gaussian method) (pystatistics.regression.Poisson method) interval_labels (pystatistics.survival.DiscreteTimeSolution property) iterations (pystatistics.core.ConvergenceError attribute) K kaplan_meier() (in module pystatistics.survival) keys() (pystatistics.core.DataSource method), [1] (pystatistics.regression.DataSource method) KMSolution (class in pystatistics.survival) ks_test() (in module pystatistics.hypothesis) kurtosis (pystatistics.descriptive.DescriptiveParams attribute) (pystatistics.descriptive.DescriptiveSolution property) L levene_test() (in module pystatistics.anova) LeveneSolution (class in pystatistics.anova) linear_predictor (pystatistics.mixed.GLMMSolution property) (pystatistics.regression.GLMParams attribute) (pystatistics.regression.GLMSolution property) LinearParams (class in pystatistics.regression) LinearSolution (class in pystatistics.regression) link (pystatistics.regression.Family property) link_name (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) log_likelihood (pystatistics.mixed.GLMMSolution property) (pystatistics.mixed.LMMSolution property) log_likelihood() (pystatistics.regression.Binomial method) (pystatistics.regression.Family method) (pystatistics.regression.Gaussian method) (pystatistics.regression.Poisson method) loglik (pystatistics.mvnmle.MVNParams attribute) (pystatistics.mvnmle.MVNSolution property) (pystatistics.survival.CoxSolution property) LogRankSolution (class in pystatistics.survival) M matrix_name (pystatistics.core.NotPositiveDefiniteError attribute) (pystatistics.core.SingularMatrixError attribute) MCARTestResult (class in pystatistics.mvnmle) mean (pystatistics.descriptive.DescriptiveParams attribute) (pystatistics.descriptive.DescriptiveSolution property) median_survival (pystatistics.survival.KMSolution property) metadata (pystatistics.core.DataSource property), [1] (pystatistics.regression.DataSource property) method (pystatistics.anova.PostHocSolution property) (pystatistics.hypothesis.HTestParams attribute), [1] (pystatistics.hypothesis.HTestSolution property) min_eigenvalue (pystatistics.core.NotPositiveDefiniteError attribute) missing_indices (pystatistics.mvnmle.PatternInfo attribute) missing_rate (pystatistics.mvnmle.MVNDesign property) ml_cov (pystatistics.mvnmle.MCARTestResult attribute) ml_mean (pystatistics.mvnmle.MCARTestResult attribute) mlest() (in module pystatistics.mvnmle) module pystatistics.anova pystatistics.core pystatistics.descriptive pystatistics.hypothesis pystatistics.mixed pystatistics.montecarlo pystatistics.mvnmle pystatistics.regression pystatistics.survival most_common_pattern (pystatistics.mvnmle.PatternSummary attribute) mu (pystatistics.hypothesis.HypothesisDesign property) muhat (pystatistics.mvnmle.MVNParams attribute) (pystatistics.mvnmle.MVNSolution property) 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_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_groups (pystatistics.survival.LogRankSolution property) n_intervals (pystatistics.survival.DiscreteTimeSolution property) n_iter (pystatistics.mvnmle.MVNParams attribute) (pystatistics.mvnmle.MVNSolution property) (pystatistics.regression.GLMParams attribute) (pystatistics.regression.GLMSolution property) (pystatistics.survival.CoxSolution 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) 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_patterns (pystatistics.mvnmle.MCARTestResult attribute) (pystatistics.mvnmle.PatternSummary attribute) n_patterns_used (pystatistics.mvnmle.MCARTestResult attribute) n_per_group (pystatistics.survival.LogRankSolution property) n_risk (pystatistics.survival.KMSolution property) n_subjects (pystatistics.anova.AnovaRMSolution property) name (pystatistics.regression.Binomial property) (pystatistics.regression.Family property) (pystatistics.regression.Gaussian property) (pystatistics.regression.Poisson property) NotPositiveDefiniteError null_deviance (pystatistics.regression.GLMParams attribute) (pystatistics.regression.GLMSolution property) null_value (pystatistics.hypothesis.HTestParams attribute), [1] (pystatistics.hypothesis.HTestSolution property) NumericalError O observed (pystatistics.hypothesis.HTestSolution property) (pystatistics.survival.LogRankSolution property) observed_indices (pystatistics.mvnmle.PatternInfo attribute) 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.hypothesis.HTestParams attribute), [1] (pystatistics.hypothesis.HTestSolution property) (pystatistics.mvnmle.MCARTestResult attribute) (pystatistics.survival.LogRankSolution property) p_values (pystatistics.mixed.GLMMSolution property) (pystatistics.mixed.LMMSolution property) (pystatistics.regression.GLMSolution property) (pystatistics.regression.LinearSolution property) (pystatistics.survival.CoxSolution property) (pystatistics.survival.DiscreteTimeSolution property) 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.mixed.GLMMSolution 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.MCARTestResult attribute) PatternSummary (class in pystatistics.mvnmle) percent_cases (pystatistics.mvnmle.PatternInfo property) permutation_test() (in module pystatistics.montecarlo) person_period_n (pystatistics.survival.DiscreteTimeSolution property) Poisson (class in pystatistics.regression) PostHocSolution (class in pystatistics.anova) prop_test() (in module pystatistics.hypothesis) provenance (pystatistics.core.Result attribute), [1] pystatistics.anova module pystatistics.core module pystatistics.descriptive module pystatistics.hypothesis module pystatistics.mixed module pystatistics.montecarlo module pystatistics.mvnmle module pystatistics.regression module pystatistics.survival 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) 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) rejected (pystatistics.mvnmle.MCARTestResult attribute) rescale_p (pystatistics.hypothesis.HypothesisDesign 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.hypothesis.HTestSolution property) (pystatistics.mixed.GLMMSolution property) (pystatistics.mixed.LMMSolution property) (pystatistics.regression.LinearParams attribute) (pystatistics.regression.LinearSolution 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) rss (pystatistics.regression.LinearParams attribute) (pystatistics.regression.LinearSolution property) S sd (pystatistics.descriptive.DescriptiveParams attribute) (pystatistics.descriptive.DescriptiveSolution property) se (pystatistics.mixed.GLMMSolution property) (pystatistics.mixed.LMMSolution property) (pystatistics.survival.KMSolution 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) source (pystatistics.regression.Design property) sphericity (pystatistics.anova.AnovaRMSolution property) ss_type (pystatistics.anova.AnovaSolution property) standard_deviations (pystatistics.mvnmle.MVNSolution property) standard_errors (pystatistics.regression.GLMSolution property) (pystatistics.regression.LinearSolution property) (pystatistics.survival.CoxSolution property) (pystatistics.survival.DiscreteTimeSolution property) statistic (pystatistics.hypothesis.HTestParams attribute), [1] (pystatistics.hypothesis.HTestSolution property) (pystatistics.mvnmle.MCARTestResult attribute) (pystatistics.survival.LogRankSolution property) statistic_name (pystatistics.hypothesis.HTestParams attribute), [1] (pystatistics.hypothesis.HTestSolution property) stdres (pystatistics.hypothesis.HTestSolution property) 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.hypothesis.HTestSolution method) (pystatistics.mixed.GLMMSolution method) (pystatistics.mixed.LMMSolution method) (pystatistics.mvnmle.MCARTestResult method) (pystatistics.mvnmle.MVNSolution 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) 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_statistics (pystatistics.regression.LinearSolution property) t_test() (in module pystatistics.hypothesis) t_values (pystatistics.mixed.LMMSolution property) table (pystatistics.anova.AnovaRMSolution property) (pystatistics.anova.AnovaSolution property) (pystatistics.hypothesis.HypothesisDesign property) test_statistics (pystatistics.regression.GLMSolution property) test_type (pystatistics.hypothesis.HypothesisDesign attribute) threshold (pystatistics.core.ConvergenceError attribute) 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.mvnmle.MVNSolution 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) to_dict() (pystatistics.mvnmle.MVNSolution method) total_cases (pystatistics.mvnmle.PatternSummary attribute) trials (pystatistics.hypothesis.HypothesisDesign property) tss (pystatistics.regression.LinearParams attribute) (pystatistics.regression.LinearSolution property) V ValidationError var() (in module pystatistics.descriptive) var_components (pystatistics.mixed.GLMMSolution property) (pystatistics.mixed.LMMSolution property) var_equal (pystatistics.hypothesis.HypothesisDesign 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.Gaussian method) (pystatistics.regression.Poisson method) W warnings (pystatistics.anova.AnovaRMSolution property) (pystatistics.anova.AnovaSolution property) (pystatistics.core.Result attribute), [1] (pystatistics.descriptive.DescriptiveSolution property) (pystatistics.hypothesis.HTestSolution property) (pystatistics.mvnmle.MVNSolution property) (pystatistics.regression.GLMSolution property) (pystatistics.regression.LinearSolution property) wilcox_test() (in module pystatistics.hypothesis) X x (pystatistics.hypothesis.HypothesisDesign 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_statistics (pystatistics.survival.CoxSolution property) (pystatistics.survival.DiscreteTimeSolution property) z_values (pystatistics.mixed.GLMMSolution property)