Package: rocbc 3.1.0

Benjamin Brewer

rocbc: Statistical Inference for Box-Cox Based Receiver Operating Characteristic Curves

Generation of Box-Cox based ROC curves and several aspects of inferences and hypothesis testing. Can be used when inferences for one biomarker (Bantis LE, Nakas CT, Reiser B. (2018)<doi:10.1002/bimj.201700107>) are of interest or when comparisons of two correlated biomarkers (Bantis LE, Nakas CT, Reiser B. (2021)<doi:10.1002/bimj.202000128>) are of interest. Provides inferences and comparisons around the AUC, the Youden index, the sensitivity at a given specificity level (and vice versa), the optimal operating point of the ROC curve (in the Youden sense), and the Youden based cutoff.

Authors:Leonidas Bantis [aut], Benjamin Brewer [cre, ctb], Christos Nakas [ctb], Benjamin Reiser [ctb]

rocbc_3.1.0.tar.gz
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rocbc_3.1.0.tgz(r-4.4-emscripten)rocbc_3.1.0.tgz(r-4.3-emscripten)
rocbc.pdf |rocbc.html✨
rocbc/json (API)

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10 exports 0.23 score 65 dependencies 2 scripts 1.0k downloads

Last updated 5 months agofrom:4da1ad95a7. Checks:OK: 2. Indexed: yes.

Exports:checkboxcoxcheckboxcox2comparebcAUCcomparebcJcomparebcSenscomparebcSpecrocboxcoxrocboxcoxCIthreerocsthreerocs2

Dependencies:base64encbslibcachemcliclinfuncolorspacecrayondigestevaluatefansifarverfastmapfontawesomeformattablefsggplot2gluegtablehighrhmshtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimeMRMCaovmunsellmvtnormnlmepillarpkgconfigplyrpracmaprettyunitspROCprogressR6rappdirsRColorBrewerRcpprlangrmarkdownsassscalesspsplancstibbletinytextrustutf8vctrsviridisLitewithrxfunyaml