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https://github.com/robitalec/statistical-rethinking

Learning bayesian data analysis with Statistical Rethinking
https://github.com/robitalec/statistical-rethinking

bookdown cmdstanr stan stantargets statistical-rethinking targets

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Learning bayesian data analysis with Statistical Rethinking

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## Introduction {.unnumbered}

Learning bayesian data analysis with the Statistical Rethinking textbook
and online lectures. The original version followed the 2019 lectures, and
I am in the progress of working through the 2022 lectures and associated homework
with the [statistical rethinking colearning 2022 group](https://github.com/robitalec/statistical-rethinking-colearning-2022).

## Approach {.unnumbered}

For Chapters 1-4, I use `quap` from the `rethinking` package, following
along with the book and solutions. For Chapters 5-10, I use `cmdstanr` and
`stantargets` to benefit from the incredible `targets` package. All wrapped
up with `bookdown`. Thanks to Richard McElreath for the book and providing
lectures available online. And thanks to all the package and Stan developers.

See the full [references](#references) for all packages.

## Links {.unnumbered}

* Course: [https://github.com/rmcelreath/statrethinking_winter2019](https://github.com/rmcelreath/statrethinking_winter2019)
* `targets`: https://books.ropensci.org/targets/
* `cmdstanr`: https://mc-stan.org/cmdstanr/
* `stantargets`: https://docs.ropensci.org/stantargets/
* `bookdown`: https://bookdown.org/home/

## Adaptations {.unnumbered}

Stan+R: https://vincentarelbundock.github.io/rethinking2/

tidy+rethinking: https://david-salazar.github.io/2020/04/19/statistical-rethinking-week-1/

brms+tidy: https://bookdown.org/content/4857/

Julia+Turing: https://github.com/StatisticalRethinkingJulia/TuringModels.jl

## Etc {.unnumbered}

https://chi-feng.github.io/mcmc-demo