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
Author: Peter Adamic, Alicja Wolny-Dominiak
Maintainer: Alicja Wolny-Dominiak <woali at>
License: GPL-2
NeedsCompilation: no
CRAN checks: sccr results


Reference manual: sccr.pdf


Package source: sccr_2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): sccr_2.1.tgz, r-oldrel (arm64): sccr_2.1.tgz, r-release (x86_64): sccr_2.1.tgz, r-oldrel (x86_64): sccr_2.1.tgz
Old sources: sccr archive


Please use the canonical form to link to this page.