.lort_parent_maps       Build parent map and endpoint-index map for
                        LORT nodes (internal helper used by
                        lort_index_path and lort_path_table)
as_confusion_matrix     Convert a tidy confusion data frame to a 2x2
                        integer matrix
as_cta_candidates       Subset a data frame to the SDA-selected
                        candidate columns
as_sda_anchor           Convert an object to an 'sda_anchor'
auto_sda_plan           Dry-run planning and validation layer for SDA
cta_assign_endpoints    Assign observations to CTA terminal endpoints
cta_balance_effect_summary
                        CTA covariate balance evidence-interval summary
cta_balance_plot_data   Renderer-ready plot data for CTA covariate
                        balance
cta_balance_table       Multivariate CTA covariate balance diagnostics
cta_confusion_matrix    Extract training confusion matrix from a fitted
                        CTA tree
cta_confusion_table     Final selected tree training confusion table
cta_d_stat              D statistic for a fitted CTA tree
cta_demo                CTA demonstration dataset
cta_descendant_family   MDSA descendant family for CTA
cta_endpoint_counts     Per-endpoint class count table for a fitted CTA
                        tree
cta_endpoint_denominators
                        Terminal endpoint denominators of a CTA tree
cta_endpoint_summary    Endpoint reporting summary for a fitted CTA
                        tree
cta_endpoint_table      Canonical terminal endpoint map for a fitted
                        CTA tree
cta_family_table        Tidy table of a CTA descendant family
cta_fit                 Fit a Classification Tree Analysis (CTA) model
                        (public wrapper)
cta_min_terminal_denom
                        Minimum terminal endpoint denominator of a CTA
                        tree
cta_node_table          Canonical CTA node report table
cta_observation_weights
                        Assign per-observation CTA propensity weights
cta_ort_node_table      Node-level summary table for a fitted LORT
                        (legacy name: cta_ort)
cta_plot_data           Extract layout data for plotting a CTA tree
cta_propensity_weights
                        Endpoint-level propensity-score weights for a
                        fitted CTA tree
cta_staging_table       Staging table for a fitted CTA tree
cta_strata              Number of terminal leaf endpoints in a CTA tree
lort_fit                Fit a Locally Optimal Recursive Tree (LORT)
lort_index_path         LORT path from root to a given node index
lort_local_tree         Extract the local CTA model embedded at a LORT
                        node
lort_path_table         Formatted path table for a LORT recursion path
lort_propensity_weights
                        LORT terminal strata propensity weights
myeloma                 Myeloma gene-expression dataset (CTA benchmark)
novo_boot_ci            Novometric bootstrap CI from a fixed 2x2
                        confusion matrix
oda_balance_effect_table
                        ODA covariate balance evidence-interval table
oda_balance_plot_data   Renderer-ready plot data for univariate ODA
                        covariate balance
oda_balance_table       Univariate ODA covariate balance diagnostics
oda_best_ordered_multiclass_partition
                        Select the best K-segment ordered partition by
                        MegaODA spec: PRIMARY -> SECONDARY -> FIRST
                        IDENTIFIED (enum order via tick()).
oda_clean_missing_codes
                        Replace missing-code values with NA
oda_confusion           Retrieve a confusion matrix from a fitted ODA
                        model
oda_confusion_binary    Binary confusion table
oda_confusion_multiclass
                        Multiclass confusion matrix
oda_cta_fit             Fit a Classification Tree Analysis (CTA) model
                        (internal engine)
oda_d_stat              Compute the D statistic for a fitted ODA model
oda_ess_from_mean       ESS from mean metric for a C-class problem
oda_ess_from_meanpac    Effect Strength for Sensitivity from mean PAC
oda_fit                 Fit an ODA model
oda_infer_attr_types    Infer attribute types from a predictor data
                        frame
oda_loo_multiclass_ordered
                        Leave-one-out cross-validation for ordered
                        multiclass ODA.
oda_mc_p_value          Monte Carlo Fisher-randomization p-value with
                        Clopper-Pearson early stopping.
oda_mean_pac            Mean PAC from sensitivity and specificity
oda_metrics             Retrieve scalar performance metrics from a
                        fitted ODA model
oda_multiclass_unioda_core
                        Fit a univariate multiclass ODA model
oda_power               ODA power analysis via simulation
oda_predictions         Retrieve predictions from a fitted ODA model
oda_propensity_weights
                        ODA rule strata propensity weights
oda_readiness_check     Preflight readiness check for ODA / CTA
                        analysis
oda_rule_predict        Apply a binary ODA rule to new data
oda_rule_predict_multiclass
                        Apply a multiclass ODA rule to new data
oda_sample_size         ODA minimum sample size via bisection
oda_univariate_core     Fit a univariate binary-class ODA model
oda_validate_group      Validate a class / group variable
oda_validate_weights    Validate a case weight vector
ort_plot_data           Renderer-independent layout data for a LORT
                        composite tree
plot.cta_ort            Plot method for Locally Optimal Recursive Tree
                        (LORT)
plot.cta_tree           Plot a fitted CTA tree
plot_balance_love       Love plot for covariate balance (SMD)
plot_cta_balance        Plot CTA multivariate covariate balance
plot_cta_balance_effects
                        Evidence card for CTA multivariate covariate
                        balance
plot_cta_family         Plot a CTA descendant family member using
                        ggplot2
plot_cta_tree           Plot a CTA tree using ggplot2
plot_lort_path          Plot the full local CTA models along a LORT
                        recursion path
plot_lort_tree          Plot a LORT (Locally Optimal Recursive Tree)
                        using ggplot2
plot_oda_balance        Plot ODA covariate balance
plot_oda_balance_effects
                        Forest plot of ODA covariate balance evidence
                        intervals
plot_smd_balance        Plot SMD covariate balance
predict.cta_ort         Predict method for Locally Optimal Recursive
                        Tree (LORT)
predict.cta_tree        Classify new observations using a CTA tree
predict.oda_fit         Predict class labels from a fitted ODA model
predict.sda_fit         Predict from an SDA procedure result
print.auto_sda_plan     Print an auto_sda_plan object
print.cta_family        Print a CTA descendant family
print.cta_family_summary
                        Print a CTA family summary
print.cta_ort           Print method for Locally Optimal Recursive Tree
                        (LORT)
print.cta_ort_summary   Print method for cta_ort_summary
print.cta_tree          Print a CTA tree in MegaODA node table format
print.cta_tree_summary
                        Print a CTA tree summary
print.oda_fit           Print a fitted ODA model
print.oda_fit_summary   Print an ODA fit summary
print.sda_anchor        Print an 'sda_anchor'
print.sda_fit           Print an sda_fit object
print.sda_fit_summary   Print an sda_fit_summary object
propensity_ess_balance
                        Propensity-weighted ESS balance diagnostic
sda_anchor              Construct an 'sda_anchor' object
sda_candidate_table     Return the candidate table from one or all SDA
                        steps
sda_fit                 Run a Structural Decomposition Analysis (SDA)
                        procedure
sda_selected_attributes
                        Return the selected attribute names from an SDA
                        procedure result
sda_step_table          Return a summary table of SDA steps
sda_to_cta_data         Prepare X and y for CTA using SDA-selected
                        attributes
smd_balance_table       Conventional SMD companion table for covariate
                        balance
summary.cta_family      Summarise a CTA descendant family
summary.cta_ort         Summary method for Locally Optimal Recursive
                        Tree (LORT)
summary.cta_tree        Summarize a fitted CTA tree
summary.oda_fit         Summarize a fitted ODA model
summary.sda_anchor      Summarise an 'sda_anchor'
summary.sda_fit         Summarise an sda_fit object
validate_sda_anchor     Validate an 'sda_anchor' object
