---
title: "Methods in (Skene & Kenward, 2010)"
author: "Dylan Dijk"
date: "2022-09-15T09:06:52Z"
tags: [Package, Tutorial, Multivariate]
link: "https://bookdown.org/dylanonslowfc11/Mixed-Models-Small-Sample-Tutorial-bs4/"
length_weight: "3.6%"
repo: "DylanDijk/Simon-Skene-Mixed-Models-Tutorial"
pinned: false
---

<p>This is a minimal example of using the bookdown package to write a book.
The HTML output format for this example is bookdown::bs4_book,
set in the _output.yml file.</p> [...] This tutorial aims to show how methods described in the two papers by Simon S. Skene and Michael G. Kenward1,2 (paper I and paper II) can be applied in R. In these papers, it is assumed that the data can be represented by a multivariate Gaussian linear model. The model has the following form: \[\begin{equation} y_i \sim N(X_i \beta;\Sigma_i ), \quad i =1, \dots,n \tag{1.1}
\end{equation}\] where \(y_i\) \((T_i \times ...
