genD

Generates the covariance matrix of the random effects from a sparse representation

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

genD function

<dl><dt>D_data</dt>
<dd>Named list specifying the covariance matrix D. Usually the return from the member function `get_D_data()` of the 
covariance class</dd>
<dt>gamma</dt>
<dd>Vector of covariance parameters specified in order they appear column wise in the functions 
specified by `func_def`</dd></dl>

Arguments

Generates the covariance matrix of the random effects — genD

<dl>

<dt>D_data</dt>
<dd>Named list specifying the covariance matrix D. Usually the return from the member function `get_D_data()` of the 
covariance class</dd>


<dt>gamma</dt>
<dd>Vector of covariance parameters specified in order they appear column wise in the functions 
specified by `func_def`</dd>

</dl>

genD: Generates the covariance matrix of the random effects

Description

Usage

Value

Arguments