Package: ROCpsych 1.4

ROCpsych: Compute and Compare Diagnostic Test Statistics Across Groups

Functions for (1) computing diagnostic test statistics (sensitivity, specificity, etc.) from confusion matrices with adjustment for various base rates or known prevalence based on McCaffrey et al (2003) <doi:10.1007/978-1-4615-0079-7_1>, (2) computing optimal cut-off scores with different criteria including maximizing sensitivity, maximizing specificity, and maximizing the Youden Index from Youden (1950) <doi:10.1002/1097-0142(1950)3:1%3C32::AID-CNCR2820030106%3E3.0.CO;2-3>, and (3) displaying and comparing classification statistics and area under the receiver operating characteristic (ROC) curves or area under the curves (AUC) across consecutive categories for ordinal variables.

Authors:Shenghai Dai [aut, cre], Olasunkanmi J. Kehinde [aut], Maureen Schmitter-Edgecombe [aut], Brian F. French [aut]

ROCpsych_1.4.tar.gz
ROCpsych_1.4.zip(r-4.7-any)ROCpsych_1.4.zip(r-4.6-any)ROCpsych_1.4.zip(r-4.5-any)
ROCpsych_1.4.tgz(r-4.6-any)ROCpsych_1.4.tgz(r-4.5-any)
ROCpsych_1.4.tar.gz(r-4.7-any)ROCpsych_1.4.tar.gz(r-4.6-any)
ROCpsych_1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ROCpsych/json (API)

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

Bug tracker:https://github.com/daiscode/rocpsych/issues

Pkgdown/docs site:https://daiscode.github.io

Datasets:

On CRAN:

Conda:

2.00 score 364 downloads 5 exports 9 dependencies

Last updated from:9ee2024c7d. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE97
source / vignettesOK181
linux-releaseNOTE90
macos-releaseNOTE190
macos-oldrelNOTE178
windows-develNOTE62
windows-releaseNOTE53
windows-oldrelNOTE69
wasm-releaseOK76

Exports:cutscoresgroup.auc.testgroup.to.varsPV.BRROC.stats

Dependencies:colorspacelatticelmtestMASSpROCRcppreportROCvcdzoo