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
fullROC_0.1.1.zip(r-4.7)fullROC_0.1.1.zip(r-4.6)fullROC_0.1.1.zip(r-4.5)
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
card.svg |card.png
fullROC/json (API)
NEWS

# 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

On CRAN:

Conda:

2.00 score 173 downloads 11 exports 0 dependencies

Last updated from:3d529553e8. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK97
source / vignettesOK137
linux-release-x86_64OK94
macos-release-arm64OK147
macos-oldrel-arm64OK158
windows-develOK68
windows-releaseOK74
windows-oldrelOK64
wasm-releaseOK80

Exports:auc_bootauc_cidata_cumid_adjid_adj_nameid_adj_posresponse_simuroc_aucroc_lineroc_plotzroc_plot

Dependencies: