.wecdf

Weighted empirical distribution function

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

.wecdf function

<dl><dt>x</dt>
<dd>vector of length <code>n</code> of values</dd>
<dt>w</dt>
<dd>vector of weights of length <code>n</code></dd>
<dt>type</dt>
<dd>string, one of distribution function (<code>dist</code>) or survival function (<code>surv</code>)</dd></dl>

Arguments

Adapted from spatstat (c) Adrian Baddeley and Rolf Turner

Author

Weighted empirical distribution function — .wecdf

<dl>

<dt>x</dt>
<dd>vector of length <code>n</code> of values</dd>


<dt>w</dt>
<dd>vector of weights of length <code>n</code></dd>


<dt>type</dt>
<dd>string, one of distribution function (<code>dist</code>) or survival function (<code>surv</code>)</dd>

</dl>

.wecdf: Weighted empirical distribution function

Description

Usage

Arguments

Author