Package: ROCket
Type: Package
Title: Simple and Fast ROC Curves
Version: 1.0.2
Authors@R: person("Daniel", "Lazar", email = "da-zar@gmx.net", role = c("aut", "cre"))
Description: A set of functions for receiver operating characteristic
        (ROC) curve estimation and area under the curve (AUC)
        calculation. All functions are designed to work with aggregated
        data; nevertheless, they can also handle raw samples. In
        'ROCket', we distinguish two types of ROC curve
        representations: 1) parametric curves - the true positive rate
        (TPR) and the false positive rate (FPR) are functions of a
        parameter (the score), 2) functions - TPR is a function of FPR.
        There are several ROC curve estimation methods available. An
        introduction to the mathematical background of the implemented
        methods (and much more) can be found in de Zea Bermudez,
        Gonçalves, Oliveira & Subtil (2014) and Cai & Pepe (2004).
License: GPL-3
Encoding: UTF-8
URL: https://github.com/da-zar/ROCket
BugReports: https://github.com/da-zar/ROCket/issues
Imports: data.table (>= 1.13.0)
Suggests: testthat
RoxygenNote: 7.2.0
Collate: 'ROCket.R' 'generics.R' 'auc.R' 'mwu.R' 'rkt_ecdf.R'
        'rkt_prep.R' 'rkt_roc.R' 'roc_methods.R' 'utils.R' 'zzz.R'
Repository: https://da-zar.r-universe.dev
Date/Publication: 2025-05-09 15:52:53 UTC
RemoteUrl: https://github.com/da-zar/rocket
RemoteRef: HEAD
RemoteSha: 1a0f2d3f58e5c9e7fac604b9a699b3cc44f7cc3d
NeedsCompilation: no
Packaged: 2026-10-01 08:33:37 UTC; root
Author: Daniel Lazar [aut, cre]
Maintainer: Daniel Lazar <da-zar@gmx.net>