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-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

Linking:

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