r-cmprsk: add Subdistribution Analysis of Competing Risks#329
Merged
Conversation
starsareintherose
requested changes
May 11, 2026
Estimation, testing and regression modeling of subdistribution functions in competing risks, as described in Gray (1988), A class of K-sample tests for comparing the cumulative incidence of a competing risk, Annals of Statistics 16:1141-1154, and Fine JP and Gray RJ (1999), A proportional hazards model for the subdistribution of a competing risk, JASA 94:496-509. Signed-off-by: Christos Longros <chris.longros@gmail.com>
37ff96e to
42d62cf
Compare
shun2wang
approved these changes
May 21, 2026
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Add CRAN package
cmprsk2.2-12.Estimation, testing and regression modeling of subdistribution
functions in competing risks. Implements Gray (1988) K-sample tests
and Fine-Gray proportional hazards for competing risks.
Pure-R + Fortran, no r-* deps (uses base
survivalfrom R-Recommended).Verification: