additional-stubs.Rmd

---
title: 'Bayes factors'
---

```{r, include=FALSE}
library(tidyverse)
library(pander)
library(lmerTest)
```

# Additional stub articles

These hopefully to be fleshed out soon. Contributions welcome!

## Meta analysis {- #meta-analysis}

For the moment,
[see this introduction to meta analysis in R](https://www.r-bloggers.com/r-and-meta-analysis/)

## Bayes factors {- #bayes-factors}

TODO

Tongue in cheek Chapter that Andy proposed as a Stage 4 option: "doing BF for
rubbish data..."

Cover:

-   What is a BF:
    http://bayesfactor.blogspot.co.uk/2014/02/the-bayesfactor-package-this-blog-is.html
    https://en.wikipedia.org/wiki/Bayes_factor#Interpretation

-   BF package manual http://bayesfactorpcl.r-forge.r-project.org/#twosample

-   BayesFactors not (too) sensitive to choice of priors:
    http://www.nicebread.de/interactive-exploration-of-a-priors-impact/

Also explore parameter estimation and inference from posterior of parameters as
an alternative approach (see Krusche chapter, and Gelman papers).