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 ue.katowice.pl>
License: GPL-2
NeedsCompilation: no
CRAN checks: sccr results

Documentation:

Reference manual: sccr.pdf

Downloads:

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

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