forecastdom: (Un)Conditional Forecast Dominance

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

AuthorGabriel Cabrera [aut, cre] (ORCID: <https://orcid.org/0000-0001-8803-2338>)
MaintainerGabriel Cabrera <gabriel.cabrera.guz@gmail.com>
LicenseMIT + file LICENSE
Version0.1.1
URL https://gabbocg.github.io/forecastdom/  https://github.com/gabbocg/forecastdom 
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("forecastdom")

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forecastdom documentation built on Nov. 2, 2026, 1:10 a.m.