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