Package: fullROC 0.1.1

Yueran Yang
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. (2022). "fullROC: An R package for generating and analyzing eyewitness-lineup ROC curves". Behavior Research Methods. <doi:10.3758/s13428-022-01807-6>, 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>.
Authors:
fullROC_0.1.1.tar.gz
fullROC_0.1.1.zip(r-4.7-any)fullROC_0.1.1.zip(r-4.6-any)fullROC_0.1.1.zip(r-4.5-any)
fullROC_0.1.1.tgz(r-4.6-any)fullROC_0.1.1.tgz(r-4.5-any)
fullROC_0.1.1.tar.gz(r-4.7-any)fullROC_0.1.1.tar.gz(r-4.6-any)
fullROC_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
fullROC/json (API)
| # Install 'fullROC' in R: |
| install.packages('fullROC', repos = c('https://yuerany.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/yuerany/fullroc/issues
Last updated from:3d529553e8. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 91 | ||
| source / vignettes | OK | 147 | ||
| linux-release | OK | 139 | ||
| macos-release | OK | 179 | ||
| macos-oldrel | OK | 195 | ||
| windows-devel | OK | 192 | ||
| windows-release | OK | 148 | ||
| windows-oldrel | OK | 97 | ||
| wasm-release | OK | 80 |
Exports:auc_bootauc_cidata_cumid_adjid_adj_nameid_adj_posresponse_simuroc_aucroc_lineroc_plotzroc_plot
Dependencies: