A unified toolkit for out-of-sample forecast dominance testing. Covers unconditional and conditional equal and superior predictive ability, encompassing, and nested-model comparison. Implements the Diebold-Mariano test with the Harvey, Leybourne, and Newbold (1997) <doi:10.1016/S0169-2070(96)00719-4> small-sample correction; the Clark-West mean squared forecast error (MSFE) adjusted statistic (Clark and West, 2007) <doi:10.1016/j.jeconom.2006.05.023>; the ENC-NEW encompassing test of Clark and McCracken (2001) <doi:10.1016/S0304-4076(01)00071-9>; the Giacomini-White conditional equal predictive ability test (Giacomini and White, 2006) <doi:10.1111/j.1468-0262.2006.00718.x>; Hansen's superior predictive ability (SPA) test (Hansen, 2005) <doi:10.1198/073500105000000063>; the conditional superior predictive ability test of Li, Liao, and Quaedvlieg (2022) <doi:10.1093/restud/rdab039>; and the uniform and average multi-horizon SPA tests of Quaedvlieg (2021) <doi:10.1080/07350015.2019.1620074>.
Package details |
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| Author | Gabriel Cabrera [aut, cre] (ORCID: <https://orcid.org/0000-0001-8803-2338>) |
| Maintainer | Gabriel Cabrera <gabriel.cabrera.guz@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.1.1 |
| URL | https://gabbocg.github.io/forecastdom/ https://github.com/gabbocg/forecastdom |
| Package repository | View on CRAN |
| Installation |
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