QHScrnomo: Construct Nomograms for Competing Risks Regression Models

Nomograms are constructed to predict the cumulative incidence rate which is calculated after adjusting for competing causes to the event of interest. K-fold cross-validation is implemented to validate predictive accuracy using a competing-risk version of the concordance index. Methods are as described in: Kattan MW, Heller G, Brennan MF (2003) <doi:10.1002/sim.1574>.

Version: 3.0.0
Depends: R (≥ 3.5.0), rms
Imports: cmprsk, Hmisc
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2023-04-18
Author: Michael Kattan [aut], Changhong Yu [aut], Xinge Ji [aut], Zajichek Alex [cre]
Maintainer: Zajichek Alex <zajicha2 at ccf.org>
BugReports: https://github.com/ClevelandClinicQHS/QHScrnomo/issues
License: GPL (≥ 3)
URL: https://github.com/ClevelandClinicQHS/QHScrnomo
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: QHScrnomo results

Documentation:

Reference manual: QHScrnomo.pdf
Vignettes: QHScrnomo

Downloads:

Package source: QHScrnomo_3.0.0.tar.gz
Windows binaries: r-devel: QHScrnomo_3.0.0.zip, r-release: QHScrnomo_3.0.0.zip, r-oldrel: QHScrnomo_3.0.0.zip
macOS binaries: r-release (arm64): QHScrnomo_3.0.0.tgz, r-oldrel (arm64): QHScrnomo_3.0.0.tgz, r-release (x86_64): QHScrnomo_3.0.0.tgz
Old sources: QHScrnomo archive

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