baseRate.rateReg-class

An S4 class that represents the estimated baseline rate function from model.
The function <code>baseRate</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

baseRate.rateReg-class function

<dl>
<dt><code>baseRate</code></dt>
<dd>A data frame.</dd></dl>
<dt><code>level</code></dt>
<dd>A numeric value.</dd>

Slots

An S4 Class Representing Estimated Baseline Rate Function — baseRate.rateReg-class

<dl>
<dt><code>baseRate</code></dt>
<dd>A data frame.</dd>


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


</dl>

baseRate.rateReg-class: An S4 Class Representing Estimated Baseline Rate Function

Description

Arguments

Slots

See Also