Tools for (Un)Conditional Forecast Dominance R package forecastdom version 0.1.0 CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries) 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 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 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>. Software Depends: R (>= 3.5) Imports: MASS, Rcpp, stats, ggplot2 LinkingTo: Rcpp Suggests: knitr, R.matlab, rmarkdown, testthat (>= 3.0.0) Gabriel Cabrera <gabriel.cabrera.guz@gmail.com> Comprehensive R Archive Network (CRAN) Gabriel Cabrera [aut, cre] (ORCID: <https://orcid.org/0000-0001-8803-2338>) MIT + file LICENSE (https://CRAN.R-project.org/package=forecastdom/LICENSE) 2026-07-24 application/tgz https://CRAN.R-project.org/package=forecastdom doi:10.32614/CRAN.package.forecastdom en-GB