Reality Check and Predictive Ability Tests for Forecast Evaluation R package RCtest version 1.0 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>. Software Depends: R (>= 3.5.0) Imports: ggplot2, gridExtra, ggrepel, rlang, stats Joanna Jedrzejewska <j.jedrzejewska3@uw.edu.pl> Comprehensive R Archive Network (CRAN) Joanna Jedrzejewska [aut, cre] (Faculty of Economic Sciences, University of Warsaw, Poland), Krzysztof Drachal [ctb] (Faculty of Economic Sciences, University of Warsaw, Poland) GPL-3 2026-06-02 application/tgz https://CRAN.R-project.org/package=RCtest doi:10.32614/CRAN.package.RCtest en-US