# Overview

I am a fan of the book *Statistical Rethinking*, so I port the codes of its second edition to NumPyro. I hope that the book and this translation will be helpful not only for NumPyro/Pyro users but also for ones who are willing to do Bayesian statistics in Python.

### Contents

### Installation

Data and notebooks can be found at my github repository.

The following tools are used for some analysis and visualizations: arviz for posteriors, causalgraphicalmodels and daft for causal graphs, and (optional) ete3 for phylogenetic trees.

```
pip install numpyro arviz causalgraphicalmodels daft
```

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