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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "movieROC" in publications use:'
type: software
license: GPL-3.0-only
title: 'movieROC: Visualization for Classification Regions for ROC Curve Generalization'
version: 0.1.0
doi: 10.32614/CRAN.package.movieROC
abstract: '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).'
authors:
- family-names: Fernandez
  given-names: Sonia Perez
  email: perezsonia@uniovi.es
- email: perezsonia@uniovi.es
repository: https://perezsonia.r-universe.dev
commit: 3a3f4744f8563463fdddcf85bd5fbe02e18f72fa
contact:
- family-names: Fernandez
  given-names: Sonia Perez
  email: perezsonia@uniovi.es
- email: perezsonia@uniovi.es