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sccr (version 2.1)

The Self-Consistent, Competing Risks (SC-CR) Algorithms

Description

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.

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Version

Install

install.packages('sccr')

Monthly Downloads

155

Version

2.1

License

GPL-2

Maintainer

Alicja Wolny-Dominiak

Last Published

December 11th, 2020

Functions in sccr (2.1)

survCompeting

Self-Consistent, Competing Risks (SC-CR) Algorithms
censoredMatrix

The double-censored data
alpha

The alpha matrix
inputM

The probability matrix creator
sccr-package

The Self-Consistent, Competing Risks (SC-CR) Algorithms