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---
title: "Resources"
---
# Group links
## HackMD (notes)
[Summer 2024 HackMD](https://hackmd.io/@cct-datascience/S107bkkzC)
[Spring 2024 HackMD](https://hackmd.io/z9Or6dTqRuKKkNHDeDM1cw?view)
## Spring schedule
[Spring schedule](spring2024.qmd)
# Statistical Rethinking
## The book
The 2020 edition is available as an eBook through the UA library.
[Permalink here.](https://arizona-primo.hosted.exlibrisgroup.com/permalink/f/evot53/01UA_ALMA51805609970003843)
The 2018 ([permalink here](https://arizona-primo.hosted.exlibrisgroup.com/permalink/f/1h28lag/TN_cdi_safari_books_v2_9781482253481)) edition is also available.
The chapters differ slightly.
We will be using the 2020 edition.
## Video lectures
[Here is the playlist of McElreath's 2023 lectures](https://www.youtube.com/watch?v=FdnMWdICdRs&list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus).
## Homework exercises
[McElreath has posted problem sets corresponding to the lectures above](https://github.com/rmcelreath/stat_rethinking_2023/tree/main/homework).
## R implementations
### `rethinking`
[McElreath's rethinking package](https://github.com/rmcelreath/rethinking/).
To install `rethinking`, you will first need to install [`cmdstanr`](https://mc-stan.org/cmdstanr/).
Follow the instructions [here](https://mc-stan.org/cmdstanr/).
Note that if you do not have CmdStan and a C++ toolchain installed, you'll need to install those as well.
There are instructions [here](https://mc-stan.org/cmdstanr/).
This can take a while!
### `brms`
[This bookdown book](https://bookdown.org/content/4857/) works through the examples and problem questions in McElreath's book using `brms`.
[Here's](https://paul-buerkner.github.io/brms/) a link to the `brms` package.
### `rstan`
[Here](https://vincentarelbundock.github.io/rethinking2/) is an implementation in R and stan.