loglikD

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

loglikD 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>
<dt>u</dt>
<dd>A realisation of the random effects</dd></dl>

Arguments

Returns log likelihood for a set of observations — loglikD

<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>


<dt>u</dt>
<dd>A realisation of the random effects</dd>

</dl>

loglikD: Returns log likelihood for a set of observations

Description

Usage

Value

Arguments