vcov.mvord

<code>vcov</code> is a generic function which extracts the Godambe information matrix from objects of class 
<code>'mvord'</code>.

A flexible framework for fitting multivariate
ordinal regression models with composite likelihood methods. Methodological details are given in Hirk, Hornik, Vana (2020) <doi:10.18637/jss.v093.i04>.

Laura Vana

mvord

Multivariate Ordinal Regression Models

Rainer Hirk

Kurt Hornik

Alan Gentz

vcov.mvord function

<dl><dt>object</dt>
<dd>an object of class <code>'mvord'</code>.</dd>
<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd></dl>

Arguments

<code>vcov</code> is a generic function which extracts the Godambe information matrix from objects of class 
<code>'mvord'</code>.

vcov of Multivariate Ordinal Regression Models. — vcov.mvord

<dl>

<dt>object</dt>
<dd>an object of class <code>'mvord'</code>.</dd>


<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd>

</dl>

vcov.mvord: vcov of Multivariate Ordinal Regression Models.

Description

Usage

Arguments