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sMSROC: Assessment of Diagnostic and Prognostic Markers

Provides estimations of the Receiver Operating Characteristic (ROC) curve and the Area Under the Curve (AUC) based on the two-stages mixed-subjects ROC curve estimator (Diaz-Coto et al. (2020) <doi:10.1515/ijb-2019-0097> and Diaz-Coto et al. (2020) <doi:10.1080/00949655.2020.1736071>).

Version: 0.1.2
Depends: R (≥ 3.5.0)
Imports: survival, rms, foreach, ggplot2, flextable, plotROC, icenReg, thregI
Published: 2023-12-07
DOI: 10.32614/CRAN.package.sMSROC
Author: Susana Diaz-Coto [aut], Susana Diaz-Coto [cre]
Maintainer: Susana Diaz-Coto <susanacoto at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
CRAN checks: sMSROC results

Documentation:

Reference manual: sMSROC.pdf

Downloads:

Package source: sMSROC_0.1.2.tar.gz
Windows binaries: r-devel: sMSROC_0.1.2.zip, r-release: sMSROC_0.1.2.zip, r-oldrel: sMSROC_0.1.2.zip
macOS binaries: r-release (arm64): sMSROC_0.1.2.tgz, r-oldrel (arm64): sMSROC_0.1.2.tgz, r-release (x86_64): sMSROC_0.1.2.tgz, r-oldrel (x86_64): sMSROC_0.1.2.tgz
Old sources: sMSROC archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.