AIC.multiRec

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

AIC.multiRec function

<dl><dt>object</dt>
<dd>an object of type multiRec</dd>
<dt>...</dt>
<dd>not used</dd>
<dt>k</dt>
<dd>numeric, the penalty per parameter to be used; the default k = 2 is
the classical AIC.</dd></dl>

Arguments

Akaike's Information Criterion — AIC.multiRec

<dl>

<dt>object</dt>
<dd>an object of type multiRec</dd>


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


<dt>k</dt>
<dd>numeric, the penalty per parameter to be used; the default k = 2 is
the classical AIC.</dd>

</dl>

AIC.multiRec: Akaike's Information Criterion

Description

Usage

Value

Arguments