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'))
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 461 downloads 5 exports 9 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK114
source / vignettesOK160
linux-release-x86_64OK115
macos-release-arm64OK67
macos-oldrel-arm64OK115
windows-develOK79
windows-releaseOK117
windows-oldrelOK64
wasm-releaseOK90

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

Dependencies:colorspacelatticelmtestMASSpROCRcppreportROCvcdzoo