CV_sgs                  Cross-Validation Subgroup Match Summary
FS_labels               Convert Factor Code to Label
SG_tab_estimates        Subgroup summary table estimates
SGplot_estimates        Violin/Boxplot Visualization of HR Estimates
analysis_covariates     Covariate set handed to
                        forestsearch()/mrct_region_sims() for the
                        paper's observed vs unobserved analysis cases.
analyze_subgroup        Analyze subgroup for summary table (OPTIMIZED)
benchmark_spec          Random-benchmark subgroup specification
bootstrap_results       Bootstrap Results for ForestSearch with Bias
                        Correction
bootstrap_ystar         Bootstrap Ystar Count Matrix
build_classification_table
                        Build Classification Rate Table from Simulation
                        Results
build_cox_formula       Build Cox Model Formula
build_estimation_table
                        Build Estimation Properties Table from
                        Simulation Results
calibrate_L_eff         Calibrate L_eff from Simulation Results
calibrate_cens_adjust   Calibrate Censoring Adjustment to Match DGM
                        Reference Distribution
calibrate_glm_interaction
                        Calibrate GLM Interaction for a Target Subgroup
                        Effect Size
calibrate_k_inter       Calibrate k_inter for Target Subgroup Hazard
                        Ratio
calibrate_k_treat       Calibrate k_treat for Target Overall Hazard
                        Ratio
check_censoring_dgm     Diagnose Censoring Consistency Between DGM
                        Source Data and Simulated Data
collect_results         Collect Results from foreach with Error
                        Handling
compare_detection_curves
                        Compare Detection Curves Across Sample Sizes
compare_fs_subgroups    Compare Subgroup Membership Across Two Analyses
compare_multiple_survreg
                        Compare Multiple Survival Regression Models
compare_selection_rules
                        Compare forestsearch Runs Across Selection-Rule
                        Combinations
compare_subgroup_sims   Compare two extreme-subgroups simulation
                        studies
compute_detection_probability
                        Compute Probability of Detecting True Subgroup
compute_detection_probability_glm
                        Compute Detection Probability for GLM Outcomes
compute_dgm_cde         Compute and Attach CDE Values to a DGM Object
compute_frontier_cis    Compute Naive and Split-Derived 95% CIs for
                        Pareto Frontier Members
compute_node_metrics    Compute node metrics for a policy tree
confint.dina            Wald confidence intervals for DINA
                        coefficients.
consistency_resample    Resampling approximation to the splitting
                        consistency rate
consistency_resample_compare
                        Validate the consistency approximation against
                        literal splitting (Cox)
count_boot_id           Count ID Occurrences in Bootstrap Sample
cox_ahr_cde_analysis    Comprehensive Wrapper for Cox Spline Analysis
                        with AHR and CDE Plotting
cox_cs_fit              Fit Cox Model with Cubic Spline for Treatment
                        Effect Heterogeneity
cox_summary             Cox model summary for subgroup (OPTIMIZED)
create_dgm_for_mrct     Create Data Generating Mechanism for MRCT
                        Simulations
create_forest_theme     Create Forest Plot Theme with Size Controls
create_gbsg_dgm         Create GBSG-Based AFT Data Generating Mechanism
create_glm_row          Compute GLM Effect Estimate for a Single
                        Subgroup
create_grf_config       Helper Functions for GRF Subgroup Analysis
create_summary_table    Create Enhanced Summary Table for Baseline
                        Characteristics
cv_compare_results      Compare Multiple CV Results
cv_metrics_tables       Create Metrics Tables for Cross-Validation
                        Results
cv_summary_tables       Create Summary Tables from
                        forestsearch_KfoldOut Results
cv_summary_text         Create Compact CV Summary Text
d_eff_binary            Effective Information for Binary Outcomes
                        (Logistic)
d_eff_continuous        Effective Information for Continuous Outcomes
                        (Gaussian)
d_eff_count             Effective Information for Count Outcomes
                        (Poisson)
d_eff_survival          Effective Information for Survival (Cox PH)
dina                    Estimate heterogeneous treatment effects via
                        DINA (data-frame interface)
dina_bagged             Bagged DINA with IJ variance (data-frame
                        interface)
dina_fit                Estimate heterogeneous treatment effects via
                        DINA
dina_fit_bagged         Bagged DINA with infinitesimal-jackknife
                        variance
dina_frontier           Extract DINA per-covariate Pareto frontiers as
                        forestsearch cuts
dina_subgroup           Identify a harm subgroup from a DINA fit via
                        univariate threshold search
dina_subgroup_bootstrap
                        Selection-adjusted bootstrap CI for
                        dina_subgroup()
dina_subgroup_refit     Standard within-subgroup treatment-effect model
                        for a DINA subgroup
dummy_encode            Dummy-code a data frame (numeric pass-through,
                        factors expanded)
early_stop_decision     Early Stopping Decision
estimate_propensity_scores
                        Estimate Propensity Scores
evaluate_comparison     Evaluate a Comparison Expression Without
                        eval(parse())
evaluate_consistency_twostage
                        Evaluate Consistency (Two-Stage Algorithm)
evaluate_cuts_once      Cache and validate cut expressions efficiently
evaluate_subgroup_consistency
                        Evaluate Subgroup Consistency (Single-Stage)
expand_covariates       Expand a seed covariate frame to n_super rows
                        via a Gaussian copula.
explain_pareto_selection
                        Describe the Pareto-Frontier Selection in Words
extract_grf_args        Recover the GRF arguments used inside a
                        forestsearch run
extract_selected_subgroups
                        Tidy summary of selected subgroups across a
                        comparison run
figure_note             Generate Figure Note for Quarto/RMarkdown
filter_by_lassokeep     Filter a vector by LASSO-selected variables
filter_call_args        Filter and merge arguments for function calls
find_k_inter_for_target_hr
                        Find k_inter Value to Achieve Target Harm
                        Subgroup Hazard Ratio
find_leaf_split         Find the split that leads to a specific leaf
                        node (deprecated)
find_required_sample_size
                        Find Minimum Sample Size for Target Detection
                        Power
fit_causal_forest       Fit causal survival forest
fit_cox_models          Fit Cox Models for Subgroups
fit_policy_trees        Fit policy trees up to specified depth
forest_height           Recommended figure height for a forest panel
forestsearch            ForestSearch: Exploratory Subgroup
                        Identification
forestsearch_Kfold      ForestSearch K-Fold Cross-Validation
forestsearch_KfoldOut   ForestSearch K-Fold Cross-Validation Output
                        Summary
forestsearch_bootstrap_dofuture
                        ForestSearch Bootstrap with doFuture
                        Parallelization
forestsearch_tenfold    ForestSearch Repeated K-Fold Cross-Validation
format_CI               Format Confidence Interval for Estimates
format_bootstrap_table
                        Format Bootstrap Results Table with gt
format_fs_details       Format ForestSearch Details Output for Beamer
                        Two-Column Display
format_oc_results       Format Operating Characteristics Results as GT
                        Table
fpr_approx              Approximate Procedure-Level False Positive Rate
fpr_calibration         Direct Simulation-Based FPR Calibration at a
                        Specific Threshold Pair
fpr_calibration_transfer
                        Transfer Corrected FPR Prediction to a Nearby
                        Threshold Pair
frontier_member_flags   Per-Subject Membership Matrix for Pareto
                        Frontier Members
fs_assert_membership    Assert the exported selected-subgroup
                        membership matches forestsearch's own
fs_declaration_calibration
                        Calibrated declaration threshold and
                        family-wise size of the p-star screen
fs_dgm_feasibility      Design-time feasibility of a DGM's planted
                        region
fs_dgm_scale            Sampling Scale of the Difference-in-Means
                        Estimator
fs_export_maxeff_family
                        Materialize the maxeff candidate family as 0/1
                        membership columns
fs_family_report        Report which stages of the candidate family are
                        data-dependent
fs_fdr_report           Operating False-Discovery Rate of a Fitted
                        ForestSearch Analysis
fs_focus_tag            Stem tag for a (subgroup_method, sg_focus) pair
fs_identification_summary
                        Identification structure across a sweep
fs_identification_table
                        Identification-structure table
fs_mr_oc_summary        Operating-Characteristics Summary of a
                        Multiplier-Resampling Payload
fs_oc_family_enumerate
                        Enumerate the candidate family on a DGM's
                        population frame
fs_oc_grid              Sweep the declaration thresholds on one draw
                        set per trial size
fs_oc_invert            Invert the family declaration rate for a target
fs_oc_predict           Predicted operating characteristics of the
                        search over a candidate family
fs_plot_bias_coverage   Bias-vs-coverage display (three panels)
fs_rule_covariate_pairs
                        Covariate signatures of the realized rules
fs_scale_se             Estimator Standard Deviation at a Given Trial
                        Size
fs_sim_bias_coverage    Bias and coverage summary for one simulation
                        cell
fs_sym_root             Symmetric Square Root of a Covariance Matrix
fs_to_guohe             Run Guo and He Algorithm 3 on a forestsearch
                        maxeff fit
generate_aft_dgm_flex   Generate Synthetic Survival Data using AFT
                        Model with Flexible Subgroups
generate_bootstrap_synthetic
                        Generate Synthetic Data using Bootstrap with
                        Perturbation
generate_bootstrap_with_noise
                        Generate Bootstrap Sample with Added Noise
generate_detection_curve
                        Generate Detection Probability Curve
generate_gbsg_bootstrap_general
                        Generate Synthetic GBSG Data using Generalized
                        Bootstrap
generate_glm_dgm        Generate GLM-Based Data Generating Mechanism
get_Cox_sg              Fit Cox Model for Subgroup
get_FSdata              ForestSearch Data Preparation and Feature
                        Selection
get_combinations_info   Get all combinations of subgroup factors up to
                        maxk
get_conf_force          Get forced cut expressions for variables
get_conf_force_jq       Get J-quantile cut expressions for variables
get_covs_in             Get indicator vector for selected subgroup
                        factors
get_dfRes               Bootstrap Confidence Interval and Bias
                        Correction Results
get_dfpred              Generate Prediction Dataset with Subgroup
                        Treatment Recommendation
get_leff                Get L_eff at a Given Sample Size
get_split_hr_fast       Fast Cox Model HR Estimation
get_subgroup_membership
                        Get subgroup membership vector
gg_forest               ggplot2 / patchwork forest plot
glm_cs_fit              Fit GLM with Spline Treatment-Biomarker
                        Interaction
glm_effect_profile      GLM Treatment-Effect Profile for Continuous
                        Biomarker Interaction
grf.subg.eval           Evaluates the performance of GRF-identified
                        subgroups, including hazard ratios, bias, and
                        predictive values. This function is typically
                        used in simulation studies to assess the
                        performance of the GRF subgroup identification
                        method.
grf.subg.harm.glm       GRF Subgroup Identification for GLM Outcomes
grf.subg.harm.survival
                        GRF Subgroup Identification for Survival Data
guohe_adaptive_r        Cross-validated choice of the shrinkage tuning
                        parameter r
guohe_algorithm3        De-biased inference for the best subgroup over
                        a large enumerated family
hrCI_format             Format Hazard Ratio and Confidence Interval
inject_mrct_structure   Build an aft_dgm_flex with synthetic regions
                        and paper-style effect structure.
interpret_estimation_table
                        Generate Narrative Interpretation of Estimation
                        Properties
interpret_search_config
                        Interpret and Diagnose Search Configuration
lasso_selection         LASSO selection for Cox model
latest_rds              Find the Most Recent .rds File Matching a
                        Pattern
load_leff_calibration   Load L_eff Calibration Results
make_effect_estimator   Make an Effect-Estimator Closure
make_region_model       Build the logistic region model and draw Region
                        on a population.
mr_estimates_table      Multiplier-resampling (MR) estimates table
                        (bootstrap-table format)
mrct_region_sims        MRCT Regional Subgroup Simulation
mrct_truth_by_region    Truth by region on the super-population:
                        prevalence, x_pred shift, causal AHR / CDE, and
                        a large-sample Cox HR on UNCENSORED potential
                        outcomes.  Compare HR_cox_PO with the
                        censored-trial HR from sim_region_metrics(): a
                        gap between them isolates the prognostic-shift
                        / follow-up-truncation mechanism (the Feb-2026
                        deck) from covariate shift (AHR itself
                        differing by region).
n_pcnt                  Calculate n and percent
pareto_frontier_table   Format Pareto Frontier of Candidate Subgroups
plot.forestsearch       Plot ForestSearch Results
plot.fs_forestplot      Plot Method for ForestSearch Forest Plot
plot.fs_sg_plot         Plot Method for fs_sg_plot Objects
plot.subgroup_sims_summary
                        Forest plot of an extreme-subgroups summary
plot_detection_curve    Plot Detection Probability Curve
plot_effect_distribution
                        Three-Panel Effect-Distribution Violin from
                        Simulation Results
plot_fs_identification_involvement
                        Covariate involvement across the sweep
plot_fs_identification_structure
                        Composition of the identified subgroup by
                        structure
plot_fs_rule_pairs      Selected-covariate-pair frequencies
plot_km_band_forestsearch
                        Plot Kaplan-Meier Survival Difference Bands for
                        ForestSearch Subgroups
plot_pareto_combined    Combined Pareto-Frontier Plot Across
                        Configurations Sharing a Passing Set
plot_pareto_frontier    Plot the Pareto Frontier of Candidate Subgroups
plot_region_modifier    True log-HR psi0(x) along x_pred with region
                        histograms (paper Fig. 3 analogue)
plot_sg_distribution    Plot Distribution of Identified Subgroups
plot_sg_glm_outcomes    Plot GLM Subgroup Outcomes
plot_sg_results         Plot ForestSearch Subgroup Results
plot_sg_weighted_km     Plot Weighted Kaplan-Meier Curves for
                        ForestSearch Subgroups
plot_spline_treatment_effect
                        Plot Spline Treatment Effect Function
plot_subgroup_effects   Plot Subgroup Analysis Results
plot_subgroup_results_forestplot
                        Plot Subgroup Results Forest Plot
predict.dina            Predicted DINA values for new covariate data.
predict_fpr_corrected   Predict Corrected Null FPR
prepare_subgroup_data   Prepare subgroup data for analysis
print.cox_ahr_cde       Print method for cox_ahr_cde objects
print.dina_bagged       Print a bagged DINA fit.
print.dina_subgroup     Print a 'dina_subgroup' result.
print.dina_subgroup_bootstrap
                        Print a 'dina_subgroup_bootstrap' result.
print.dina_subgroup_refit
                        Print a 'dina_subgroup_refit' result.
print.forestsearch      Print Method for forestsearch Objects
print.forestsearch_comparison
                        Print Method for forestsearch_comparison
print.fpr_calibration   Print method for 'fpr_calibration' objects
print.fs_bootstrap      Print Method for ForestSearch Bootstrap Results
print.fs_cv_summary     Print Method for fs_cv_summary Objects
print.fs_dgm_scale      Print method for 'fs_dgm_scale' objects
print.fs_fdr_report     Print method for 'fs_fdr_report' objects
print.fs_forest_theme   Print Method for ForestSearch Forest Theme
print.fs_forestplot     Print Method for ForestSearch Forest Plot
print.fs_kfold          Print Method for K-Fold CV Results
print.fs_mr_oc          Print method for 'fs_mr_oc' objects
print.fs_sg_plot        Print Method for fs_sg_plot Objects
print.fs_tenfold        Print Method for Repeated K-Fold CV Results
print.fs_weighted_km    Print Method for fs_weighted_km Objects
print.gbsg_dgm          Print Method for gbsg_dgm Objects
print.glm_dgm           Print method for 'glm_dgm' objects
print.glm_effect_profile
                        Print method for glm_effect_profile objects
print.guohe_a3          Print method for guohe_a3 objects
print.guohe_ar          Print method for guohe_ar objects
print.hte_test          Print method for 'hte_test' objects
print.leff_calibration
                        Print method for 'leff_calibration' objects
print.multi_survreg_comparison
                        Print method for survreg_comparison objects
print_grf_details       Print detailed output for debugging
process_conf_force_expr
                        Process forced cut expression for a variable
quick_km_band_plot      Quick Plot KM Bands from ForestSearch
render_forestplot       Render ForestSearch Forest Plot
render_reference_table
                        Render Reference Simulation Table as gt
reset_workers           Reset a Parallel Worker Pool
rmst_calculation        RMST calculation for subgroup
run_null_calibration    Run Null Calibration Simulation
run_simulation_analysis
                        Run One Simulation Replicate
run_single_consistency_split
                        Run Single Consistency Split
run_subgroup_sims       Run the extreme-subgroups simulation study
save_forestplot         Save ForestSearch Forest Plot to File
save_leff_calibration   Save L_eff Calibration Results
select_best_subgroup    Select best subgroup based on criterion
sensitivity_analysis_k_inter
                        Sensitivity Analysis of Hazard Ratios to
                        k_inter
setup_gbsg_dgm          Set Up a GBSG-Based AFT Data Generating
                        Mechanism
setup_parallel_SGcons   Set up parallel processing for subgroup
                        consistency
sg_consistency_out      Output Subgroup Consistency Results
sg_tables               Enhanced Subgroup Summary Tables (gt output)
sgdist_fig_height       Adaptive Figure Height for a
                        Subgroup-Distribution Plot
sim_region_metrics      Region-consistency metrics on a simulated trial
                        (ITT and optionally a subgroup)
simulate_from_dgm       Simulate Survival Data from AFT Data Generating
                        Mechanism
simulate_from_gbsg_dgm
                        Simulate Trial Data from GBSG DGM
simulate_from_glm_dgm   Simulate Trial Data from a GLM Data Generating
                        Mechanism
sort_subgroups          Sort Subgroups by Focus (post-consistency)
subgroup.consistency    Evaluate Subgroup Consistency
subgroup.search         Subgroup Search for Treatment Effect
                        Heterogeneity (Improved, Parallelized)
subgroup_cox            Cox per-subgroup fit function
subgroup_glm            GLM per-subgroup fit function
suggest_thresholds      Suggest Screening and Consistency Thresholds
summarize_bootstrap_events
                        Summarize Bootstrap Event Counts
summarize_bootstrap_results
                        Enhanced Bootstrap Results Summary
summarize_bootstrap_subgroups
                        Summarize Bootstrap Subgroup Analysis Results
summarize_cv_results    Summarise ForestSearch Cross-Validation
                        Diagnostics
summarize_simulation_results
                        Summarize Simulation Results
summary.cox_ahr_cde     Summary method for cox_ahr_cde objects
summary.dina            Summary method for a DINA fit.
summary.forestsearch    Summary Method for forestsearch Objects
summary.fpr_calibration
                        Summary method for 'fpr_calibration' objects
summary.subgroup_sims   Summarize an extreme-subgroups simulation study
summaryout_mrct         Summary Tables for MRCT Simulation Results
test_constant_cate      Test for Constant Conditional Average Treatment
                        Effect
test_hte                Run Both Crump et al. Tests
test_hte_from_forestsearch
                        HTE Test Using ForestSearch-Selected Covariates
test_zero_cate          Test for Zero Conditional Average Treatment
                        Effect
validate_grf_data       Validate input data for GRF analysis
validate_k_inter_effect
                        Validate k_inter Effect on HR Heterogeneity
validate_mrct_data      Validate Dataset for MRCT Simulations
validate_subgroups      Validate subgroup definitions against a data
                        frame
wilson_ci               Wilson Score Confidence Interval
