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Re-organize Getting Started and Docs (#27)
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docs/Python-environment/index.md

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# Distributions
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## Available distributions

docs/examples/index.md

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# Model examples

docs/examples/metabarcoding.md

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id: metabarcoding
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title: Abundances from metabarcoding
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# Abundances from metabarcoding

docs/for-developers/index.md

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# Contribute to TreePPL development
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import Tabs from '@theme/Tabs';
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import TabItem from '@theme/TabItem';
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# How to cite TreePPL
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Please cite the [TreePPL Release Note](https://www.biorxiv.org/content/10.1101/2023.10.10.561673v2) when using TreePPL.

docs/index.md

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# TreePPL Documentation
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If you are new to TreePPL, we recommend beginning looking at our [Getting started pages](docs/getting-started).
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The TreePPL documentation consists of:
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- [Python environment](docs/python-environment), linking to the Python Environment documentation,
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- [R environment](docs/R-environment), linking to the R Environment documentation,
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- [Model examples](docs/examples), which illustrate key models available in TreePPL,
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- [Language reference](docs/language-reference), which contains a language overview, distributions, inference methods, etc.
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- [Getting started](docs/getting-started), with instructions for first steps,
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- [Python interface](docs/python-interface), with Python Environment documentation,
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- [Jupyter interface](docs/jupyter-interface), with Jupyter documentation,
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- [R environment](docs/R-environment), linking to the R Environment documentation,
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- [Tutorials](docs/tutorials), in which the user learns by doing something meaningful, towards some achievable goal,
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<!-- - To be added: System, which is documentation for the people who would like to develop the TreePPL language itself -->
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- [Language overview](docs/language-overview), which contains a basic language description,
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- [Distributions](docs/distributions), describing available distributions and related information,
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- [Inference methods](docs/inference), describing available inference techniques,
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- [Model examples](docs/examples), which illustrate key models available in TreePPL,
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- [Contribute to TreePPL development](docs/for-developers), which is documentation for the people who would like to develop the TreePPL language itself, including how to install for command-line use.
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- [How to cite](docs/how_to_cite), with background references.
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If you are new to TreePPL, we recommend beginning looking at our [Getting started pages](getting-started/getting-started).
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# Inference methods
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TreePPL supports several inference methods.
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title: Jupyter interface
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# Jupyter interface
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