check_Recur

Perform several checks for recurrent event data and update object
attributions if some rows of the contained data (in the <code>.Data</code> slot)
have been removed by such as <code>na.action</code>.

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

check_Recur function

<dl><dt>x</dt>
<dd>An <code>Recur</code> object.</dd>
<dt>check</dt>
<dd>A character value specifying how to perform the checks for
recurrent event data. Errors or warnings will be thrown, respectively,
if the <code>check</code> is specified to be <code>"hard"</code> (by default) or
<code>"soft"</code>. If <code>check = "none"</code> is specified, no data checking
procedure will be run.</dd></dl>

Arguments

Checks for Recurrent Event Data — check_Recur

<dl>

<dt>x</dt>
<dd>An <code>Recur</code> object.</dd>


<dt>check</dt>
<dd>A character value specifying how to perform the checks for
recurrent event data. Errors or warnings will be thrown, respectively,
if the <code>check</code> is specified to be <code>"hard"</code> (by default) or
<code>"soft"</code>. If <code>check = "none"</code> is specified, no data checking
procedure will be run.</dd>

</dl>

check_Recur: Checks for Recurrent Event Data

Description

Usage

Value

Arguments