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).
- Version3.0.1
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Last release03/18/2024
Documentation
Team
Zajichek Alex
Michael Kattan
Show author detailsRolesAuthorChanghong Yu
Show author detailsRolesAuthorXinge Ji
Show author detailsRolesAuthor
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Last 30 days
This package has been downloaded 186 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3 times.
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Last 365 days
This package has been downloaded 2,623 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Sep 11, 2024 with 29 downloads.
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Dependencies
- Depends1 package
- Imports2 packages
- Suggests3 packages