fullROC
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". <doi:10.13140/RG.2.2.20415.94885/1> , 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. <doi:10.1177/1745691620902426>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling source/ R- | fullROC_0.1.0.tar.gz |
15.8 KiB |
0.1.0 |
rolling linux/jammy R-4.5 | fullROC_0.1.0.tar.gz |
44.5 KiB |
0.1.0 |
latest source/ R- | fullROC_0.1.0.tar.gz |
15.8 KiB |
0.1.0 |
latest linux/jammy R-4.5 | fullROC_0.1.0.tar.gz |
44.5 KiB |
0.1.0 |
2026-04-23 source/ R- | fullROC_0.1.0.tar.gz |
15.8 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | fullROC_0.1.0.zip |
47.0 KiB |
0.1.0 |
2025-04-20 source/ R- | fullROC_0.1.0.tar.gz |
15.8 KiB |