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.

Version:	0.1.2
Imports:	stats, graphics
Suggests:	tibble, vctrs, knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2024-11-13
DOI:	10.32614/CRAN.package.PLindleyROC
Author:	Ertan Akgenç [cre, aut, cph] (https://www.researchgate.net/profile/Ertan-Akgenc), Coşkun Kuş [aut, ctb] (https://www.selcuk.edu.tr/Person/Detail/coskun)
Maintainer:	Ertan Akgenç <statistician.ertan at gmail.com>
BugReports:	https://github.com/ErtanSU/PLindleyROC/issues
License:	GPL-3
URL:	https://github.com/ErtanSU/PLindleyROC, https://ertansu.github.io/PLindleyROC/
NeedsCompilation:	no
Language:	en-US
Materials:	README NEWS
CRAN checks:	PLindleyROC results

Documentation:

Reference manual:	PLindleyROC.pdf
Vignettes:	PLindleyROC (source, R code)

Downloads:

Package source:	PLindleyROC_0.1.2.tar.gz
Windows binaries:	r-devel: PLindleyROC_0.1.2.zip, r-release: PLindleyROC_0.1.2.zip, r-oldrel: PLindleyROC_0.1.2.zip
macOS binaries:	r-release (arm64): PLindleyROC_0.1.2.tgz, r-oldrel (arm64): PLindleyROC_0.1.2.tgz, r-release (x86_64): PLindleyROC_0.1.2.tgz, r-oldrel (x86_64): PLindleyROC_0.1.2.tgz
Old sources:	PLindleyROC archive

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