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: 0.1.1
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-02-07
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), Ihab Abusaif [aut, ctb] (https://www.researchgate.net/profile/Ihab-Abusaif), Ramazan Akman [aut, ctb] (https://www.researchgate.net/profile/Ramazan-Akman)
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
Materials: README NEWS
CRAN checks: PLindleyROC results

Documentation:

Reference manual: PLindleyROC.pdf
Vignettes: PLindleyROC

Downloads:

Package source: PLindleyROC_0.1.1.tar.gz
Windows binaries: r-prerel: PLindleyROC_0.1.1.zip, r-release: PLindleyROC_0.1.1.zip, r-oldrel: PLindleyROC_0.1.1.zip
macOS binaries: r-prerel (arm64): PLindleyROC_0.1.1.tgz, r-release (arm64): PLindleyROC_0.1.1.tgz, r-oldrel (arm64): PLindleyROC_0.1.1.tgz, r-prerel (x86_64): PLindleyROC_0.1.1.tgz, r-release (x86_64): PLindleyROC_0.1.1.tgz
Old sources: PLindleyROC archive

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