Package: cmprsk 2.2-12
Bob Gray
cmprsk: Subdistribution Analysis of Competing Risks
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, Ann. Stat. 16:1141-1154 <doi:10.1214/aos/1176350951>, and Fine JP and Gray RJ (1999), A proportional hazards model for the subdistribution of a competing risk, JASA, 94:496-509, <doi:10.1080/01621459.1999.10474144>.
Authors:
cmprsk_2.2-12.tar.gz
cmprsk_2.2-12.zip(r-4.5)cmprsk_2.2-12.zip(r-4.4)cmprsk_2.2-12.zip(r-4.3)
cmprsk_2.2-12.tgz(r-4.4-x86_64)cmprsk_2.2-12.tgz(r-4.4-arm64)cmprsk_2.2-12.tgz(r-4.3-x86_64)cmprsk_2.2-12.tgz(r-4.3-arm64)
cmprsk_2.2-12.tar.gz(r-4.5-noble)cmprsk_2.2-12.tar.gz(r-4.4-noble)
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cmprsk.pdf |cmprsk.html✨
cmprsk/json (API)
| # Install 'cmprsk' in R: |
| install.packages('cmprsk', repos = c('https://epiverse-connect.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 months agofrom:f81411e1e3. Checks:OK: 9. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 09 2024 |
| R-4.5-win-x86_64 | OK | Nov 09 2024 |
| R-4.5-linux-x86_64 | OK | Nov 09 2024 |
| R-4.4-win-x86_64 | OK | Nov 09 2024 |
| R-4.4-mac-x86_64 | OK | Nov 09 2024 |
| R-4.4-mac-aarch64 | OK | Nov 09 2024 |
| R-4.3-win-x86_64 | OK | Nov 09 2024 |
| R-4.3-mac-x86_64 | OK | Nov 09 2024 |
| R-4.3-mac-aarch64 | OK | Nov 09 2024 |
Exports:[.cuminccrrcumincplot.cumincplot.predict.crrpredict.crrprint.crrprint.cumincprint.summary.crrsummary.crrtimepoints
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Subset method for lists of class cuminc | [.cuminc |
| Competing Risks Regression | crr |
| Cumulative Incidence Analysis | cuminc |
| Create Labeled Cumulative Incidence Plots | plot.cuminc |
| Plot estimated subdistribution functions | plot.predict.crr |
| Estimate subdistribution functions from crr output | predict.crr |
| prints summary of a crr object | print.crr |
| Print cuminc objects | print.cuminc |
| Summary method for crr | print.summary.crr summary.crr |
| Calculate Estimates at Specific Timepoints | timepoints |