censoredMatrix

A data frame with 8 observations on the following 5 variables.

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.

Alicja Wolny-Dominiak

sccr

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

censoredMatrix function

<dl class="dl-horizontal">
 <dt><code>L</code></dt><dd>a numeric vector</dd>
 <dt><code>R</code></dt><dd>a numeric vector</dd>
 <dt><code>C1</code></dt><dd>a numeric vector</dd>
 <dt><code>C2</code></dt><dd>a numeric vector</dd>
 <dt><code>C3</code></dt><dd>a numeric vector</dd>
 </dl>

Format

The double-censored data — censoredMatrix

<dl class='dl-horizontal'>
 <dt><code>L</code></dt><dd>a numeric vector</dd>
 <dt><code>R</code></dt><dd>a numeric vector</dd>
 <dt><code>C1</code></dt><dd>a numeric vector</dd>
 <dt><code>C2</code></dt><dd>a numeric vector</dd>
 <dt><code>C3</code></dt><dd>a numeric vector</dd>
 </dl>

censoredMatrix: The double-censored data

Description

Arguments

Format

Examples