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3 changes: 3 additions & 0 deletions .gitignore
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Expand Up @@ -4,6 +4,9 @@
# Production
/build

#Auto-generate
/docs/model-library

# Generated files
.docusaurus
.cache-loader
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9 changes: 8 additions & 1 deletion README.md
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Expand Up @@ -22,7 +22,14 @@ Then run command
$ npm install
```

to install all dependent packages (including the Docusaurus libraries).
to install all dependent packages (including the Docusaurus libraries) and

```
$ npm run pull-treeppl-models
```

to pull model descriptions from TreePPL repository.
This last command can be done each time you want to update model descriptions.

### Local Development

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26 changes: 0 additions & 26 deletions docs/model-library/div.md

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2 changes: 1 addition & 1 deletion docs/tutorials/pigeons.md
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Expand Up @@ -12,7 +12,7 @@ import TabItem from '@theme/TabItem';
In this tutorial we will demonstrate how to use the Julia package [Pigeons.jl](https://pigeons.run/stable/) to parallelize and improve MCMC inference in TreePPL with parallel tempering.
Parallel tempering is particularly powerful for combinatorial, multimodal and overparametrized posteriors, which abound in statistical phylogenetics.

We will use the [constant rate birth-death](../examples/div.md#constant-rate-birth-death) (CRBD) model as the running example.
We will use the [constant rate birth-death](../model-library/diversification.md#constant-rate-birth-death) (CRBD) model as the running example.

### What is parallel tempering and Pigeons?
MCMC algorithms are inherently sequential algorithms, since the next iteration depends explicitly on what we are computing in the current.
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