mLogLik

Function to obtain restricted log-likelihood and the first derivatives of the log-likelihood,
given values for the penalty parameters

An efficient and flexible system to solve sparse mixed model
equations. Important applications are the use of splines to model spatial or temporal
trends as described in Boer (2023). (<doi:10.1177/1471082X231178591>).

Bart-Jan van Rossum

LMMsolver

Linear Mixed Model Solver

Martin Boer

mLogLik function

<dl><dt>object</dt>
<dd>an object of class LMMsolve</dd>
<dt>theta</dt>
<dd>a matrix with values of precision parameters theta.</dd></dl>

Arguments

Function to obtain restricted log-likelihood and the first derivatives of the log-likelihood,
given values for the penalty parameters — mLogLik

<dl>

<dt>object</dt>
<dd>an object of class LMMsolve</dd>


<dt>theta</dt>
<dd>a matrix with values of precision parameters theta.</dd>

</dl>

mLogLik: Function to obtain restricted log-likelihood and the first derivatives of the log-likelihood, given values for the penalty parameters

Description

Usage

Value

Arguments