aggregate_to_timeseries
                        Create Time-Series Aggregated Data
bayesian_glm            Bayesian Generalized Linear Models for Sector
                        Analysis
calculate_mode          Calculate Mode Using Kernel Density Estimation
cca_pvar                Canonical Correlation Analysis and Panel VAR
check_package           Check if Required Package is Available
compare_models          Compare All Models
compute_oos_degradation
                        Compute OOS Degradation
compute_r2              Compute In-Sample R-squared
create_mundlak_data     Create Mundlak-Transformed Panel Data
data_preparation        Data Preparation Functions
evaluate_insample       Evaluate In-Sample Model Performance
export_results_csv      Export Results to CSV
extract_cca_loadings    Extract Top CCA Loadings
extract_pls_importance
                        Extract PLS Variable Importance
extract_sector_coefficients
                        Extract Sector Coefficients
fit_aggregated_var      Fit Aggregated VAR Model
fit_bayesian_glm_sectors
                        Fit Bayesian GLM for Each Sector
fit_bayesian_hierarchical
                        Fit Bayesian Hierarchical Panel Model
fit_mundlak_cre         Fit Mundlak Correlated Random Effects Model
fit_panel_var           Fit Panel VAR Model
fit_pls_multivariate    Fit PLS Regression with Cross-Validation
                        Component Selection
fit_twoway_fe           Fit Two-Way Fixed Effects Panel Model
format_break_results    Format Structural Break Results
generate_analysis_summary
                        Generate Comprehensive Analysis Summary
get_r2_values           Extract R-squared Values from rstanarm Model
interpret_break_tests   Interpret Break Test Results
leave_one_sector_out    Leave-One-Sector-Out Cross-Validation
panel_granger_test      Panel Granger Causality Test
                        (Dumitrescu-Hurlin)
panel_models            Panel Data Models for Value-Price Analysis
pls_analysis            Partial Least Squares Regression Analysis
predict_pls             Predict from PLS Model
prepare_log_matrices    Prepare Log-Transformed Matrices
prepare_panel_data      Prepare Panel Data from Wide Format Matrices
print_analysis_summary
                        Print Analysis Summary
robust_summary          Robust Summary Statistics with Bootstrap
                        Confidence Intervals
rolling_window_cv       Rolling Window Cross-Validation
run_cca_var_analysis    Run Complete CCA and VAR Analysis
run_full_analysis       Run Complete Analysis Pipeline
run_sparse_cca          Run Sparse CCA with PCA Preprocessing
safe_mae                Safe MAE Calculation
safe_pct                Safe Percentage Calculation
safe_rmse               Safe RMSE Calculation
structural_breaks       Structural Break Tests
summarize_cv_results    Summarize Rolling Window Results
summary_comparison      Model Comparison and Summary Functions
test_mundlak_specification
                        Test Mundlak Specification
test_structural_breaks
                        Test for Structural Breaks
utils                   Utility Functions for Value-Price Analysis
validate_panel_data     Validate Panel Data Structure
validation              Out-of-Sample Validation Functions
