Package: PLindleyROC 0.1.2

Ertan Akgenç

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.tar.gz(r-4.5-noble)PLindleyROC_0.1.2.tar.gz(r-4.4-noble)
PLindleyROC_0.1.2.tgz(r-4.4-emscripten)PLindleyROC_0.1.2.tgz(r-4.3-emscripten)
PLindleyROC.pdf |PLindleyROC.html✨
PLindleyROC/json (API)
NEWS

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

Peer review:

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

3.00 score 8 scripts 154 downloads 7 exports 0 dependencies

Last updated 11 days agofrom:9f2ac5c382. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 14 2024
R-4.5-linuxOKNov 14 2024

Exports:dPLDpPLDqPLDr.pl_aucr.pl_graphr.pl_indexrPLD

Dependencies:

PLindleyROC

Rendered fromPLindleyROC.Rmdusingknitr::rmarkdownon Nov 14 2024.

Last update: 2023-11-11
Started: 2023-11-11

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