Plot Full ROC Curves using Eyewitness Lineup Data

Enable researchers to adjust identification rates using the 1/(lineup size) method, generate the full receiver operating characteristic (ROC) curves, and statistically compare the area under the curves (AUC). References: Yueran Yang & Andrew Smith. (2020). "fullROC: An R package for generating and analyzing eyewitness-lineup ROC curves". , Andrew Smith, Yueran Yang, & Gary Wells. (2020). "Distinguishing between investigator discriminability and eyewitness discriminability: A method for creating full receiver operating characteristic curves of lineup identification performance". Perspectives on Psychological Science, 15(3), 589-607. .


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install.packages("fullROC")

0.1.0 by Yueran Yang, 10 days ago


Report a bug at https://github.com/yuerany/fullROC/issues


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


Authors: Yueran Yang [aut, cre]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports stats, graphics


See at CRAN