mcfDiff-class

An S4 class that represents the difference between two sample mean
cumulative functions from data. The function <code>mcfDiff</code>
produces objects of this class.

Contains implementations of recurrent event data analysis routines
including (1) survival and recurrent event data simulation from
stochastic process point of view by the thinning method
proposed by Lewis and Shedler (1979) <doi:10.1002/nav.3800260304>
and the inversion method introduced in Cinlar (1975, ISBN:978-0486497976),
(2) the mean cumulative function (MCF) estimation by the
Nelson-Aalen estimator of the cumulative hazard rate function,
(3) two-sample recurrent event responses comparison with the pseudo-score
tests proposed by Lawless and Nadeau (1995) <doi:10.2307/1269617>,
(4) gamma frailty model with spline rate function following
Fu, et al. (2016) <doi:10.1080/10543406.2014.992524>.

Wenjie Wang

reda

Recurrent Event Data Analysis

Haoda Fu

Sy Han (Steven) Chiou

Jun Yan

mcfDiff-class function

<dl>
<dt><code>call</code></dt>
<dd>A function call.</dd></dl>
<dt><code>MCF</code></dt>
<dd>A data frame.</dd>
<dt><code>origin</code></dt>
<dd>A named numeric vector.</dd>
<dt><code>variance</code></dt>
<dd>A character vector.</dd>
<dt><code>logConfInt</code></dt>
<dd>A logical value.</dd>
<dt><code>level</code></dt>
<dd>A numeric value.</dd>
<dt><code>test</code></dt>
<dd>A <code>mcfDiff.test</code> class object.</dd>

Slots

An S4 Class Representing Sample MCF Difference — mcfDiff-class

<dl>
<dt><code>call</code></dt>
<dd>A function call.</dd>


<dt><code>MCF</code></dt>
<dd>A data frame.</dd>


<dt><code>origin</code></dt>
<dd>A named numeric vector.</dd>


<dt><code>variance</code></dt>
<dd>A character vector.</dd>


<dt><code>logConfInt</code></dt>
<dd>A logical value.</dd>


<dt><code>level</code></dt>
<dd>A numeric value.</dd>


<dt><code>test</code></dt>
<dd>A <code>mcfDiff.test</code> class object.</dd>


</dl>

mcfDiff-class: An S4 Class Representing Sample MCF Difference

Description

Arguments

Slots

See Also