Package: PLindleyROC 0.1.2

PLindleyROC: Receiver Operating Characteristic Based on Power Lindley Distribution

Receiver Operating Characteristic (ROC) analysis is performed assuming samples are from the Power Lindley distribution. Specificity, sensitivity, area under the curve and ROC curve are provided.

Authors:Ertan Akgenç [cre, aut, cph], Coşkun Kuş [aut, ctb]

PLindleyROC_0.1.2.tar.gz
PLindleyROC_0.1.2.zip(r-4.7)PLindleyROC_0.1.2.zip(r-4.6)PLindleyROC_0.1.2.zip(r-4.5)
PLindleyROC_0.1.2.tgz(r-4.6-any)PLindleyROC_0.1.2.tgz(r-4.5-any)
PLindleyROC_0.1.2.tar.gz(r-4.7-any)PLindleyROC_0.1.2.tar.gz(r-4.6-any)
PLindleyROC_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
PLindleyROC/json (API)
NEWS

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

Bug tracker:https://github.com/ertansu/plindleyroc/issues

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

On CRAN:

Conda:

3.70 score 8 scripts 514 downloads 7 exports 0 dependencies

Last updated from:a68137afd2. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK295
source / vignettesOK163
linux-release-x86_64OK288
macos-release-arm64OK294
macos-oldrel-arm64OK268
windows-develOK299
windows-releaseOK204
windows-oldrelOK315
wasm-releaseOK97

Exports:dPLDpPLDqPLDr.pl_aucr.pl_graphr.pl_indexrPLD

Dependencies:

PLindleyROC

Rendered fromPLindleyROC.Rmdusingknitr::rmarkdownon Jun 02 2026.

Last update: 2023-09-23
Started: 2023-09-23

Readme and manuals

Help Manual

Help pageTopics
Receiver Operating Characteristic based on Power Lindley DistributiondPLD PLindleyROC pPLD qPLD r.pl_auc r.pl_graph r.pl_index rPLD