This is an implementation of the Generalized Discrimination Score (also known as Two Alternatives Forced Choice Score, 2AFC) for various representations of forecasts and verifying observations. The Generalized Discrimination Score is a generic forecast verification framework which can be applied to any of the following verification contexts: dichotomous, polychotomous (ordinal and nominal), continuous, probabilistic, and ensemble. A comprehensive description of the Generalized Discrimination Score, including all equations used in this package, is provided by Mason and Weigel (2009) <doi:10.1175/MWR-D-10-05069.1>.
https://anaconda.org/r/r-afc/badges/version.svg
https://anaconda.org/r/r-afc/badges/latest_release_date.svg
https://anaconda.org/r/r-afc/badges/latest_release_relative_date.svg
https://anaconda.org/r/r-afc/badges/platforms.svg
https://anaconda.org/r/r-afc/badges/license.svg
https://anaconda.org/r/r-afc/badges/downloads.svg