CRAN/E | fullROC

fullROC

Plot Full ROC Curves using Eyewitness Lineup Data

Installation

About

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.

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Key Metrics

Version 0.1.0
Published 2021-01-13 803 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks fullROC results
Language en-US

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Maintainer

Maintainer

Yueran Yang

yuerany@unr.edu

Authors

Yueran Yang

aut / cre

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Imports

stats
graphics