confint.multiRec

Confidence Intervals for Model Parameters

Implements likelihood-based estimation and diagnostics for multi-type recurrent
event data with dynamic risk that depends on prior events and accommodates terminating events.
Methods are described in Ghosh, Chan, Younes and Davis (2023) "A Dynamic Risk Model for Multitype Recurrent Events"
<doi:10.1093/aje/kwac213>.

Alokananda Ghosh

multiRec

Analysis of Multi-Type Recurrent Events

Naji Younes

Medhasweta Sen

confint.multiRec function

<dl><dt>object</dt>
<dd>a fitted model object.</dd>
<dt>parm</dt>
<dd>a specification of which parameters are to be given confidence
intervals, either a vector of numbers or a vector of names. If missing, all
parameters are considered.</dd>
<dt>level</dt>
<dd>the confidence level required.</dd>
<dt>...</dt>
<dd>not used</dd></dl>

Arguments

Confidence Intervals for Model Parameters — confint.multiRec

<dl>

<dt>object</dt>
<dd>a fitted model object.</dd>


<dt>parm</dt>
<dd>a specification of which parameters are to be given confidence
intervals, either a vector of numbers or a vector of names. If missing, all
parameters are considered.</dd>


<dt>level</dt>
<dd>the confidence level required.</dd>


<dt>...</dt>
<dd>not used</dd>

</dl>

confint.multiRec: Confidence Intervals for Model Parameters

Description

Usage

Value

Arguments