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)ROCpsych_1.4.zip(r-4.6)ROCpsych_1.4.zip(r-4.5)
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'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 537 downloads 5 exports 9 dependencies

Last updated from:d1f860036b. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK103
source / vignettesOK184
linux-release-x86_64OK106
macos-release-arm64OK97
macos-oldrel-arm64OK91
windows-develOK73
windows-releaseOK86
windows-oldrelOK62
wasm-releaseOK90

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

Dependencies:colorspacelatticelmtestMASSpROCRcppreportROCvcdzoo