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:Yueran Yang [aut, cre]

fullROC_0.1.1.tar.gz
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fullROC.pdf |fullROC.html
fullROC/json (API)
NEWS

# Install 'fullROC' in R:
install.packages('fullROC', repos = c('https://yuerany.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/yuerany/fullroc/issues

On CRAN:

2.00 score 135 downloads 11 exports 0 dependencies

Last updated 2 years agofrom:3d529553e8. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 29 2024
R-4.5-winOKOct 29 2024
R-4.5-linuxOKOct 29 2024
R-4.4-winOKOct 29 2024
R-4.4-macOKOct 29 2024
R-4.3-winOKOct 29 2024
R-4.3-macOKOct 29 2024

Exports:auc_bootauc_cidata_cumid_adjid_adj_nameid_adj_posresponse_simuroc_aucroc_lineroc_plotzroc_plot

Dependencies: