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-any)PLindleyROC_0.1.2.zip(r-4.6-any)PLindleyROC_0.1.2.zip(r-4.5-any)
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✨
DESCRIPTION |NEWS
card.svg |card.png
PLindleyROC/json (API)

# 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:

3.70 score 346 downloads 7 exports 0 dependencies

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

Target	Result	Time
linux-devel	OK	313
source / vignettes	OK	198
linux-release	OK	239
macos-release	OK	312
macos-oldrel	OK	276
windows-devel	OK	261
windows-release	OK	313
windows-oldrel	OK	250
wasm-release	OK	121