Package: movieROC
Type: Package
Title: Visualization for Classification Regions for ROC Curve
        Generalization
Version: 0.1.0
Author: Sonia Perez Fernandez
Maintainer: Sonia Perez Fernandez <perezsonia@uniovi.es>
Description: Tools for estimating the Receiver Operating Characteristic
        (ROC) curve under different generalizations: - making the
        classification subsets flexible to cover those scenarios where
        both extremes of the marker are associated with a higher risk
        of being positive, considering two thresholds (gROC curve); -
        transforming the marker by a function either defined by the
        user or resulting from a logistic regression model (hROC
        curve); - considering a linear transformation with some fixed
        parameters introduced by the user, dynamic parameters resulting
        from Meisner et al. (2017) approach or empirically maximizing
        TPR for each FPR for a bivariate marker. Also a quadratic
        transformation with particular coefficients or a function
        fitted by a logistic regression model can be considered (biROC
        curve); - considering a linear transformation with some fixed
        parameters introduced by the user, dynamic parameters resulting
        from Meisner et al. (2017) approach or a function fitted by a
        logistic regression model (multiROC curve). The classification
        regions behind each point of the ROC curve are displayed in
        both fixed graphics (plot.buildROC, plot.regions or
        plot.funregions function) or videos (movieROC function).
License: GPL-3
Encoding: UTF-8
Imports: rms, animation
Config/pak/sysreqs: cmake make libmagick++-dev gsfonts texlive
        libicu-dev libuv1-dev libssl-dev
Repository: https://perezsonia.r-universe.dev
Date/Publication: 2021-01-04 14:27:19 UTC
RemoteUrl: https://github.com/perezsonia/movieroc
RemoteRef: HEAD
RemoteSha: 3a3f4744f8563463fdddcf85bd5fbe02e18f72fa
NeedsCompilation: no
Packaged: 2026-10-07 10:24:52 UTC; root