Statistical Inference for Box-Cox Based Receiver Operating Characteristic Curves

Generation of Box-Cox based ROC curves and several aspects of inferences and hypothesis testing. Can be used when inferences for one biomarker (Bantis LE, Nakas CT, Reiser B. (2018)) are of interest or when comparisons of two correlated biomarkers (Bantis LE, Nakas CT, Reiser B. (2021)) are of interest. Provides inferences and comparisons around the AUC, the Youden index, the sensitivity at a given specificity level (and vice versa), the optimal operating point of the ROC curve (in the Youden sense), and the Youden based cutoff.


Reference manual

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install.packages("rocbc")

3.2.0 by Benjamin Brewer, 9 months ago


Browse source code at https://github.com/cran/rocbc


Authors: Leonidas Bantis [aut] , Benjamin Brewer [cre, ctb] , Christos Nakas [ctb] , Benjamin Reiser [ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports pracma, clinfun, splancs, mvtnorm, formattable, MRMCaov, pROC

Suggests knitr, markdown, matlab


See at CRAN