RCtest - 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>.