QHScrnomo: Construct Nomograms for Competing Risks Regression Models (original) (raw)

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).

Version: 3.0.2
Depends: R (≥ 3.5.0), rms
Imports: cmprsk, Hmisc
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2025-07-23
DOI: 10.32614/CRAN.package.QHScrnomo
Author: Michael Kattan [aut], Changhong Yu [aut], Xinge Ji [aut], Zajichek Alex [cre]
Maintainer: Zajichek Alex
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

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