---
title: SUYRs worksheets
author: "Murray Logan"
date: "`r format(Sys.time(), '%d %B, %Y')`"
format:
html:
## Format
theme: [default, ../resources/ws-style.scss]
css: ../resources/ws_style.css
html-math-method: mathjax
## Table of contents
toc: true
toc-float: true
## Numbering
number-sections: true
number-depth: 3
## Layout
page-layout: full
fig-caption-location: "bottom"
fig-align: "center"
fig-width: 4
fig-height: 4
fig-dpi: 72
tbl-cap-location: top
## Code
code-fold: false
code-tools: true
code-summary: "Show the code"
code-line-numbers: true
code-block-border-left: "#ccc"
code-copy: true
highlight-style: atom-one
## Execution
execute:
echo: true
cache: true
## Rendering
embed-resources: true
crossref:
fig-title: '**Figure**'
fig-labels: arabic
tbl-title: '**Table**'
tbl-labels: arabic
engine: knitr
bibliography: ../resources/references.bib
---
## Bayesian GLM
- [Simple GLM (bglm_example1.html)](bglm_example1.html)
- [Logistic GLM (bglm_example2.html)](bglm_example2.html)
- [GLM (bglm_example3.html)](bglm_example3.html)
- [Multiple regression GLM (bglm_example4.html)](bglm_example4.html)
- [Poisson GLM single categorical predictor (bglm_example5.html)](bglm_example5.html)
- [Negative binomial GLM two categorical predictors (bglm_example6.html)](bglm_example6.html)
- [Gamma GLM with autocorrelation (bglm_example7.html)](bglm_example7.html)
- [Causation and DAGs (bglm_example8.html)](bglm_example8.html)
## Hierarchical Bayesian GLM
- [Simple Hierarchical GLM (bglmm_example1.html)](bglmm_example1.html)
- [Hierarchical GLM (bglmm_example2.html)](bglmm_example2.html)
- [Hierarchical GLM (bglmm_example3.html)](bglmm_example3.html)
- [Hierarchical logistic GLM (bglmm_example4.html)](bglmm_example4.html)
- [Hierarchical zero-inflated poisson GLM (bglmm_example5.html)](bglmm_example5.html)
- [Hierarchical Poisson GLM with offset for density (bglmm_example6.html)](bglmm_example6.html)
- [Hierarchical Gamma GLM with polynomials (bglmm_example7.html)](bglmm_example7.html)
- [Hierarchical Ordinal GLM (bglmm_example9.html)](bglmm_example9.html)
- [Hierarchical Binomial GLM (bglmm_example10.html)](bglmm_example10.html)