Reality Check and Predictive Ability Tests for Forecast Evaluation


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Documentation for package ‘RCtest’ version 1.0

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compute_crps Compute Continuous Ranked Probability Score (CRPS)
compute_klic Compute Kullback-Leibler Information Criterion (KLIC) Negative Log-Likelihood Scores
compute_kupiec Value-at-Risk (VaR) Unconditional Coverage Test (Kupiec)
compute_per_model_statistics Per-Model Diebold-Mariano Test (HAC + MBB Bootstrap)
compute_zp Compute ZP Quantile Loss
create_unified_summary Create Unified Summary
estimate_forecast_variance Estimate Forecast Variance via Rolling Window
estimate_long_run_covariance Long-Run Covariance Estimator via Bartlett Kernel (HAC)
extract_and_flatten_results_aggregated Flatten Results for Export
generate_comprehensive_report Generate Comprehensive Markdown Report
kullback_leibler_test Kullback-Leibler Information Criterion (KLIC) Test
mbb_resample_data Moving Block Bootstrap (MBB) Resampler
metals Forecasts of Base Metals Prices
plot_cumulative_loss Plot Cumulative Loss Differences
plot_density_forecast Plot Density Forecast
plot_performance_metrics Plot Performance Metrics Comparison
reality_check_zp_test ZP Quantile Loss Reality Check Test
run_comprehensive_erc_analysis Run Comprehensive Forecast Evaluation Analysis
superior_predictive_ability_test Superior Predictive Ability (SPA) Test
white_reality_check White's Reality Check (WRC)
white_reality_check_cdf_approx White's Reality Check via Expected Loss CDF Comparison (CDF-RC)
white_reality_check_conditional Conditional Predictive Ability (CPA) Reality Check Test