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.

Version:	3.1.0
Imports:	pracma, clinfun, splancs, mvtnorm, formattable, MRMCaov, pROC
Suggests:	knitr, markdown, matlab
Published:	2024-04-22
DOI:	10.32614/CRAN.package.rocbc
Author:	Leonidas Bantis [aut], Benjamin Brewer [cre, ctb], Christos Nakas [ctb], Benjamin Reiser [ctb]
Maintainer:	Benjamin Brewer <tennisbenj at gmail.com>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	rocbc results

Documentation:

Reference manual:	rocbc.pdf
Vignettes:	rocbc

Downloads:

Package source:	rocbc_3.1.0.tar.gz
Windows binaries:	r-devel: rocbc_3.1.0.zip, r-release: rocbc_3.1.0.zip, r-oldrel: rocbc_3.1.0.zip
macOS binaries:	r-release (arm64): rocbc_3.1.0.tgz, r-oldrel (arm64): rocbc_3.1.0.tgz, r-release (x86_64): rocbc_3.1.0.tgz, r-oldrel (x86_64): rocbc_3.1.0.tgz
Old sources:	rocbc archive

Linking:

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