Package: PLindleyROC 0.1.1

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], Ihab Abusaif [aut, ctb], Ramazan Akman [aut, ctb]

PLindleyROC_0.1.1.tar.gz
PLindleyROC_0.1.1.zip(r-4.5)PLindleyROC_0.1.1.zip(r-4.4)PLindleyROC_0.1.1.zip(r-4.3)
PLindleyROC_0.1.1.tgz(r-4.4-any)PLindleyROC_0.1.1.tgz(r-4.3-any)
PLindleyROC_0.1.1.tar.gz(r-4.5-noble)PLindleyROC_0.1.1.tar.gz(r-4.4-noble)
PLindleyROC_0.1.1.tgz(r-4.4-emscripten)PLindleyROC_0.1.1.tgz(r-4.3-emscripten)
PLindleyROC.pdf |PLindleyROC.html✨
PLindleyROC/json (API)
NEWS

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

Peer review:

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

On CRAN:

7 exports 1.25 score 0 dependencies 8 scripts 161 downloads

Last updated 2 months agofrom:a86e6e9b4a. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 22 2024
R-4.5-winOKAug 22 2024
R-4.5-linuxOKAug 22 2024
R-4.4-winOKAug 22 2024
R-4.4-macOKAug 22 2024
R-4.3-winOKAug 22 2024
R-4.3-macOKAug 22 2024

Exports:dPLDpPLDqPLDr.pl_aucr.pl_graphr.pl_indexrPLD

Dependencies:

PLindleyROC

Rendered fromPLindleyROC.Rmdusingknitr::rmarkdownon Aug 22 2024.

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