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-4.7-any)sccr_2.1.tar.gz(r-4.6-any)
sccr_2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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 from:41042c3991. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 453 | ||
| source / vignettes | OK | 159 | ||
| linux-release-x86_64 | OK | 100 | ||
| wasm-release | OK | 94 |
Exports:alphainputMsurvCompeting
Dependencies:clidplyrgenericsgluelifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr
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 |