get.GH

Compute Gauss-Hermite quadrature rule

internal

Estimates marginalized mean and dependence model parameters for correlated binary response data.
Dependence model may include transition and/or latent variable terms.
Methods are described in: Schildcrout and Heagerty (2007) <doi:10.1111/j.1541-0420.2006.00680.x>, Heagerty (1999) <doi:10.1111/j.0006-341x.1999.00688.x>, Heagerty (2002) <doi:10.1111/j.0006-341x.2002.00342.x>.

Chiara Di Gravio

binaryMM

Flexible Marginalized Models for Binary Correlated Outcomes

Jonathan Schildcrout

Nathaniel Mercaldo

get.GH function

<dl><dt>q</dt>
<dd>Order of the Gauss-Hermite quadrature rule to compute</dd>
<dt>scale_abscissa</dt>
<dd>Fixed number</dd>
<dt>scale_weight</dt>
<dd>Fixed number</dd></dl>

Arguments

Compute Gauss-Hermite quadrature rule — get.GH

<dl>

<dt>q</dt>
<dd>Order of the Gauss-Hermite quadrature rule to compute</dd>


<dt>scale_abscissa</dt>
<dd>Fixed number</dd>


<dt>scale_weight</dt>
<dd>Fixed number</dd>

</dl>

get.GH: Compute Gauss-Hermite quadrature rule

Description

Usage

Value

Arguments