Survr-class

The class <code>Survr</code> is an S4 that represents a formula response for
recurrent event data model. The function <code>Survr</code> produces
objects of this class. See ``Slots'' for details.

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

Survr-class function

<dl>
<dt><code>.Data</code></dt>
<dd>A numeric matrix object.</dd></dl>
<dt><code>ID</code></dt>
<dd>A charactrer vector for original subject identificator.</dd>
<dt><code>check</code></dt>
<dd>A logical value indicating whether to performance data checking.</dd>
<dt><code>ord</code></dt>
<dd>An integer vector for increasingly ordering data by <code>ID</code>,
<code>time</code>, and <code>1 - event</code>.</dd>

Slots

An S4 Class Representing Formula Response — Survr-class

<dl>
<dt><code>.Data</code></dt>
<dd>A numeric matrix object.</dd>


<dt><code>ID</code></dt>
<dd>A charactrer vector for original subject identificator.</dd>


<dt><code>check</code></dt>
<dd>A logical value indicating whether to performance data checking.</dd>


<dt><code>ord</code></dt>
<dd>An integer vector for increasingly ordering data by <code>ID</code>,
<code>time</code>, and <code>1 - event</code>.</dd>


</dl>

Survr-class: An S4 Class Representing Formula Response

Description

Arguments

Slots

See Also