Package: sccr 2.1
Alicja Wolny-Dominiak
sccr: The Self-Consistent, Competing Risks (SC-CR) Algorithms
The SC-SR Algorithm is used to calculate fully non-parametric and self-consistent estimators of the cause-specific failure probabilities in the presence of interval-censoring and possible making of the failure cause in a competing risks environment. In the version 2.0 the function creating the probability matrix from double-censored data is added.
Authors:
sccr_2.1.tar.gz
sccr_2.1.tar.gz(r-4.5-noble)sccr_2.1.tar.gz(r-4.4-noble)
sccr_2.1.tgz(r-4.4-emscripten)sccr_2.1.tgz(r-4.3-emscripten)
sccr.pdf |sccr.html✨
sccr/json (API)
| # Install 'sccr' in R: |
| install.packages('sccr', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- censoredMatrix - The double-censored data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:41042c3991. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 31 2024 |
| R-4.5-linux | OK | Oct 31 2024 |
Exports:alphainputMsurvCompeting
Dependencies:clidplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| The Self-Consistent, Competing Risks (SC-CR) Algorithms | sccr-package sccr |
| The alpha matrix | alpha |
| The double-censored data | censoredMatrix |
| The probability matrix creator | inputM |
| Self-Consistent, Competing Risks (SC-CR) Algorithms | survCompeting |