Package: QHScrnomo 3.0.1.9000

Zajichek Alex

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).

Authors:Michael Kattan [aut], Changhong Yu [aut], Xinge Ji [aut], Zajichek Alex [cre]

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Bug tracker:https://github.com/clevelandclinicqhs/qhscrnomo/issues

On CRAN:

8 exports 8 stars 1.40 score 78 dependencies 5 scripts 241 downloads

Last updated 6 months agofrom:437b8e0906. Checks:OK: 7 NOTE: 2. Indexed: yes.

Exports:cindexcrr.fitgroupcinomogram.crrnomogram.mk6pred.cisas.cmprsktenf.crr

Dependencies:backportsbase64encbslibcachemcheckmatecliclustercmprskcodetoolscolorspacedata.tabledigestevaluatefansifarverfastmapfontawesomeforeignFormulafsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmemoisemgcvmimemultcompmunsellmvtnormnlmennetpillarpkgconfigpolsplinequantregR6rappdirsRColorBrewerrlangrmarkdownrmsrpartrstudioapisandwichsassscalesSparseMstringistringrsurvivalTH.datatibbletinytexutf8vctrsviridisviridisLitewithrxfunyamlzoo