Reality Check and Predictive Ability Tests for Forecast Evaluation // Implements a comprehensive suite of statistical tests for evaluating the accuracy of forecasting models against a benchmark. The package is grounded in the reality check framework of White (2000) doi:10.1111/1468-0262.00152, extended by Hansen (2005) doi:10.1198/073500105000000063 for Superior Predictive Ability (SPA), 'Giacomini' White (2006) doi:10.1111/j.1468-0262.2006.00718.x for Conditional Predictive Ability (CPA), and 'Corradi' Swanson (2006) doi:10.1016/j.jeconom.2005.07.026 for predictive density evaluation via the 'Kullback'-'Leibler' Information Criterion ('KLIC') and 'ZP' Quantile Loss test, the Continuous Ranked Probability Score ('CRPS') ('Gneiting' 'Raftery', 2007) doi:10.1198/016214506000001437, coverage tests ('Kupiec', 1995) doi:10.3905/jod.1995.407942, 'HAC' covariance estimation ('Newey' West, 1987) doi:10.2307/1913610, and Moving Block Bootstrap resampling ('Kunsch', 1989) doi:10.1214/aos/1176347265.