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.tar.gz(r-4.7-arm64)cmprsk_2.2-12.tar.gz(r-4.7-x86_64)cmprsk_2.2-12.tar.gz(r-4.6-arm64)cmprsk_2.2-12.tar.gz(r-4.6-x86_64)
cmprsk_2.2-12.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
cmprsk/json (API)
| # Install 'cmprsk' in R: |
| install.packages('cmprsk', repos = c('https://cran.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 from:f81411e1e3. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 121 | ||
| linux-devel-x86_64 | OK | 117 | ||
| source / vignettes | OK | 139 | ||
| linux-release-arm64 | OK | 149 | ||
| linux-release-x86_64 | OK | 120 | ||
| wasm-release | OK | 95 |
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 |