turnbull_intervals

Given censoring and truncation set,
compute the regions of the real line that
get positive mass and over which the distribution
function is well-defined.

internal

A collection of parametric and nonparametric methods for the analysis of survival data. Parametric families implemented include Gompertz-Makeham, exponential and generalized Pareto models and extended models. The package includes an implementation of the nonparametric maximum likelihood estimator for arbitrary truncation and censoring pattern based on Turnbull (1976) <doi:10.1111/j.2517-6161.1976.tb01597.x>, along with graphical goodness-of-fit diagnostics. Parametric models for positive random variables and peaks over threshold models based on extreme value theory are described in Rootzén and Zholud (2017) <doi:10.1007/s10687-017-0305-5>; Belzile et al. (2021) <doi:10.1098/rsos.202097> and Belzile et al. (2022) <doi:10.1146/annurev-statistics-040120-025426>.

Leo Belzile

longevity

Statistical Methods for the Analysis of Excess Lifetimes

turnbull_intervals function

<dl><dt>time</dt>
<dd>excess time of the event of follow-up time, depending on the value of event</dd>
<dt>time2</dt>
<dd>ending excess time of the interval for interval censored data only.</dd>
<dt>ltrunc</dt>
<dd>lower truncation limit, default to <code>NULL</code></dd>
<dt>rtrunc</dt>
<dd>upper truncation limit, default to <code>NULL</code></dd></dl>

Arguments

Turnbull's sets — turnbull_intervals

<dl>

<dt>time</dt>
<dd>excess time of the event of follow-up time, depending on the value of event</dd>


<dt>time2</dt>
<dd>ending excess time of the interval for interval censored data only.</dd>


<dt>ltrunc</dt>
<dd>lower truncation limit, default to <code>NULL</code></dd>


<dt>rtrunc</dt>
<dd>upper truncation limit, default to <code>NULL</code></dd>

</dl>

turnbull_intervals: Turnbull's sets

Description

Usage

Value

Arguments

References