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.
| Version: |
2.1 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
dplyr |
| Published: |
2020-12-11 |
| DOI: |
10.32614/CRAN.package.sccr |
| Author: |
Peter Adamic, Alicja Wolny-Dominiak |
| Maintainer: |
Alicja Wolny-Dominiak <woali at ue.katowice.pl> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| CRAN checks: |
sccr results |
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