gen_sigma_approx

Generates a first-order approximation to the covariance matrix 
of y based on the marginal quasi-likelihood. This approximation is
exact for the Gaussian-identity model. Used internally by the Model class.

Specification of generalised linear mixed models using the 'R6' object-orientated class system. The package provides classes 'Covariance', 'MeanFunction' and 'Model', which allow for flexible specification of generalised linear mixed models, as well as functionality to produce relevant matrices, values, and analyses.
See <https://github.com/samuel-watson/glmmrBase/blob/master/README.md> for a detailed manual.

Sam Watson

glmmrBase

Specification of Generalised Linear Mixed Models

Yi Pan

gen_sigma_approx function

<dl><dt>xb</dt>
<dd>Vector of values of the linear predictor</dd>
<dt>Z</dt>
<dd>Random effects design matrix</dd>
<dt>D</dt>
<dd>Covariance matrix of the random effects</dd>
<dt>family</dt>
<dd>String specifying the family</dd>
<dt>link</dt>
<dd>String specifying the link function</dd>
<dt>var_par</dt>
<dd>Value of the optional scale parameter</dd>
<dt>attenuate</dt>
<dd>Logical indicating whether to use "attenuated" values of the linear predictor</dd>
<dt>qlik</dt>
<dd>Not used.</dd></dl>

Arguments

Generates an approximation to the covariance of y — gen_sigma_approx

<dl>

<dt>xb</dt>
<dd>Vector of values of the linear predictor</dd>


<dt>Z</dt>
<dd>Random effects design matrix</dd>


<dt>D</dt>
<dd>Covariance matrix of the random effects</dd>


<dt>family</dt>
<dd>String specifying the family</dd>


<dt>link</dt>
<dd>String specifying the link function</dd>


<dt>var_par</dt>
<dd>Value of the optional scale parameter</dd>


<dt>attenuate</dt>
<dd>Logical indicating whether to use "attenuated" values of the linear predictor</dd>


<dt>qlik</dt>
<dd>Not used.</dd>

</dl>

gen_sigma_approx: Generates an approximation to the covariance of y

Description

Usage

Value

Arguments