| Collapse an ImputationBootstrapResult into a BootstrapResult | as_bootstrap_result |
| Plot the causal graph of a CAMUVResult with ggplot2 | autoplot.CAMUVResult |
| Plot the causal graph of a LiMResult with ggplot2 | autoplot.LiMResult |
| Plot the causal graph of a LingamResult with ggplot2 | autoplot.LingamResult |
| Plot one group of a MultiGroupLingamResult with ggplot2 | autoplot.MultiGroupLingamResult |
| Plot the causal graph of a ParceLingamResult with ggplot2 | autoplot.ParceLingamResult |
| Plot the causal graph of an RCDResult with ggplot2 | autoplot.RCDResult |
| Plot the causal graph of a ResitResult with ggplot2 | autoplot.ResitResult |
| Bootstrap with Multiple Imputation for Direct LiNGAM | bootstrap_with_imputation |
| Check the stationarity of a fitted VAR-LiNGAM model | check_var_stationarity |
| Check the stationarity and invertibility of a fitted VARMA-LiNGAM model | check_varma_stationarity |
| Estimate the total causal effects between all variables at once | estimate_all_total_effects |
| Estimate the total causal effect between two specified variables | estimate_total_effect |
| Estimate the total causal effect between two variables (ParceLiNGAM) | estimate_total_effect_parce |
| Estimate the total causal effect between two variables (RCD) | estimate_total_effect_rcd |
| Estimate a total causal effect in a VAR-LiNGAM model | estimate_var_total_effect |
| Estimate a total causal effect in a VARMA-LiNGAM model | estimate_varma_total_effect |
| Evaluate model fit of an estimated causal graph | evaluate_model_fit |
| Generate sample data with unobserved variables (for CAM-UV) | generate_camuv_sample |
| Generate sample data for LiM (3 mixed variables) | generate_lim_sample |
| Generate a challenging sample data for Direct LiNGAM | generate_lingam_hard_sample |
| Generate large-scale sample data to benchmark Direct LiNGAM scalability | generate_lingam_large_sample |
| Generate Paradoxical Data Where DirectLiNGAM Struggles | generate_lingam_paradox_data |
| Generate 10-variable sample data for Direct LiNGAM | generate_lingam_sample_10 |
| Generate sample data for Direct LiNGAM (6 variables) | generate_lingam_sample_6 |
| Generate sample data for Multi-Group Direct LiNGAM (2 groups, 6 variables) | generate_multi_group_sample |
| Generate sample data with a latent confounder (for BottomUpParceLiNGAM) | generate_parce_sample |
| Generate sample data with a latent confounder (for RCD) | generate_rcd_sample |
| Generate sample data from a nonlinear additive noise model (for RESIT) | generate_resit_sample |
| Generate sample data from a VAR-LiNGAM model | generate_varlingam_sample |
| Generate sample data from a VARMA-LiNGAM model | generate_varmalingam_sample |
| Create an adjacency matrix of representative causal-effect values from bootstrap results | get_adjacency_matrix_summary |
| Get counts, proportions, and causal effects of causal directions | get_causal_direction_counts |
| Evaluate the stability of the causal order from bootstrap | get_causal_order_stability |
| Get DAG counts | get_directed_acyclic_graph_counts |
| Compute p-values for the independence test of the errors | get_error_independence_p_values |
| Compute p-values for the independence of ParceLiNGAM residuals (HSIC-based) | get_error_independence_p_values_parce |
| Compute p-values for the independence of RCD residuals (HSIC-based) | get_error_independence_p_values_rcd |
| Extract a single group's result from a MultiGroupLingamResult | get_group_result |
| Get all paths between two specified variables and their bootstrap probabilities | get_paths |
| Get bootstrap probabilities | get_probabilities |
| Get a list of total causal effects | get_total_causal_effects |
| Enumerate bootstrap paths between two variables in a VAR-LiNGAM model | get_var_paths |
| Bootstrap probabilities for a VAR-LiNGAM model | get_var_probabilities |
| Enumerate bootstrap paths between two variables in a VARMA-LiNGAM model | get_varma_paths |
| Bootstrap probabilities for a VARMA-LiNGAM model | get_varma_probabilities |
| Get a one-row summary of a CAMUVResult | glance.CAMUVResult |
| Get a one-row summary of a LiMResult | glance.LiMResult |
| Get a one-row summary of a LingamResult | glance.LingamResult |
| Get a one-row summary of a MultiGroupLingamResult | glance.MultiGroupLingamResult |
| Get a one-row summary of a ParceLingamResult | glance.ParceLingamResult |
| Get a one-row summary of an RCDResult | glance.RCDResult |
| Get a one-row summary of a ResitResult | glance.ResitResult |
| CAM-UV (Causal Additive Models with Unobserved Variables) | lingam_camuv |
| Direct LiNGAM | lingam_direct |
| Bootstrap for Direct LiNGAM | lingam_direct_bootstrap |
| High-Dimensional Direct LiNGAM | lingam_high_dim |
| LiM: LiNGAM for Mixed Data | lingam_lim |
| Multi-Group Direct LiNGAM | lingam_multi_group |
| Bootstrap for Multi-Group Direct LiNGAM | lingam_multi_group_bootstrap |
| Bottom-Up ParceLiNGAM | lingam_parce |
| Bootstrap for Bottom-Up ParceLiNGAM | lingam_parce_bootstrap |
| RCD (Repetitive Causal Discovery) | lingam_rcd |
| Bootstrap for RCD | lingam_rcd_bootstrap |
| RESIT causal discovery for nonlinear additive noise models | lingam_resit |
| Bootstrap for RESIT | lingam_resit_bootstrap |
| VAR-LiNGAM for time series causal discovery | lingam_var |
| Bootstrap for VAR-LiNGAM | lingam_var_bootstrap |
| VARMA-LiNGAM for time series causal discovery | lingam_varma |
| Bootstrap for VARMA-LiNGAM | lingam_varma_bootstrap |
| Create a prior knowledge matrix | make_prior_knowledge |
| Plot a causal graph from an adjacency matrix with DiagrammeR | plot_adjacency |
| Draw bootstrap probabilities with DiagrammeR | plot_bootstrap_probabilities |
| plot QQ | plot_residual_qq |
| Q-Q plots of VAR-LiNGAM residuals | plot_varlingam_residual_qq |
| Q-Q plots of VARMA-LiNGAM residuals | plot_varmalingam_residual_qq |
| Display the contents of a BootstrapResult | print.BootstrapResult |
| Print method for CAMUVResult | print.CAMUVResult |
| print method for causal_order_stability | print.causal_order_stability |
| Print method for ImputationBootstrapResult | print.ImputationBootstrapResult |
| Print method for LiMResult | print.LiMResult |
| Print method for lingam_normality_test | print.lingam_normality_test |
| print method for lingam_summary | print.lingam_summary |
| Print method for LingamResult | print.LingamResult |
| Print method for MultiGroupBootstrapResult | print.MultiGroupBootstrapResult |
| Print method for MultiGroupLingamResult | print.MultiGroupLingamResult |
| Print method for ParceLingamResult | print.ParceLingamResult |
| Print method for RCDResult | print.RCDResult |
| Print method for ResitResult | print.ResitResult |
| Print method for var_stationarity | print.var_stationarity |
| Print a VARBootstrapResult | print.VARBootstrapResult |
| Print method for VARLiNGAMResult | print.VARLiNGAMResult |
| Print method for varma_stationarity | print.varma_stationarity |
| Print a VARMABootstrapResult | print.VARMABootstrapResult |
| Print method for VARMALiNGAMResult | print.VARMALiNGAMResult |
| Summarize the goodness-of-fit of a Direct LiNGAM model at once | summary_lingam |
| Test normality of residuals from Direct LiNGAM | test_residual_normality |
| Test the non-Gaussianity of VAR-LiNGAM residuals | test_varlingam_residual_normality |
| Run several normality tests on VAR-LiNGAM residuals at once | test_varlingam_residual_normality_all |
| Test the non-Gaussianity of VARMA-LiNGAM residuals | test_varmalingam_residual_normality |
| Run several normality tests on VARMA-LiNGAM residuals at once | test_varmalingam_residual_normality_all |
| Convert a BootstrapResult to a tidy data.frame | tidy.BootstrapResult |
| Convert a CAMUVResult to a tidy data.frame | tidy.CAMUVResult |
| Convert an ImputationBootstrapResult to a tidy data.frame | tidy.ImputationBootstrapResult |
| Convert a LiMResult to a tidy data.frame | tidy.LiMResult |
| Convert a LingamResult to a tidy data.frame | tidy.LingamResult |
| Convert a MultiGroupBootstrapResult to a tidy data.frame | tidy.MultiGroupBootstrapResult |
| Convert a MultiGroupLingamResult to a tidy data.frame | tidy.MultiGroupLingamResult |
| Convert a ParceLingamResult to a tidy data.frame | tidy.ParceLingamResult |
| Convert an RCDResult to a tidy data.frame | tidy.RCDResult |
| Convert a ResitResult to a tidy data.frame | tidy.ResitResult |
