DOC: Build documentation

Build documentation

docs/_toc.yml

@@ -1,8 +1,27 @@
 format: jb-book
-root: intro
-chapters:
-- file: installation
-- file: quickstart
-- file: simulation
-- file: model
-- file: api
+root: index
+parts:
+- caption: Getting started
+  chapters:
+  - file: intro
+  - file: install
+  - file: quick-start
+
+- caption: Simulation framework
+  chapters:
+  - file: effect-size
+  - file: genetic
+  - file: environment
+  - file: multi-trait
+
+- caption: Interfaces
+  chapters:
+  - file: api
+
+- caption: Extras
+  chapters:
+  - file: citation
+  - file: contributing
+  - file: release/index
+  - url: https://tskit.dev/community/
+    title: Community

docs/api.md

@@ -1,52 +1,49 @@
----
-jupytext:
-  text_representation:
-    extension: .md
-    format_name: myst
-    format_version: 0.13
-    jupytext_version: 1.11.5
-kernelspec:
-  display_name: Python 3
-  language: python
-  name: python3
----
+(reference)=
 
-# Python API
-
-This lists the detailed documentation for the tstrait Python API.
-
-## Summary
+# API Reference
 
 ```{eval-rst}
 .. currentmodule:: tstrait
 ```
 
-### Phenotype Simulation
+This page provides a detailed explanation of all public tstrait objects and functions.
+
+## Simulation functions
 
 ```{eval-rst}
-.. autofunction:: tstrait.sim_phenotype
+.. autosummary::
+    :toctree: _api
+
+    sim_phenotype
+    sim_trait
+    sim_genetic
+    sim_env
 ```
 
-### Trait Model
+(effect_size_distribution)=
 
-```{eval-rst}
-.. autoclass:: tstrait.TraitModelAdditive
-```
+## Effect size distributions
 
 ```{eval-rst}
-.. autoclass:: tstrait.TraitModelAlleleFrequency
+.. autosummary::
+    :toctree: _api
+
+    trait_model
+    TraitModel
+    TraitModelNormal
+    TraitModelT
+    TraitModelFixed
+    TraitModelExponential
+    TraitModelGamma
+    TraitModelMultivariateNormal
 ```
 
-### Result
+## Result data classes
 
 ```{eval-rst}
-.. autoclass:: tstrait.Result
-```
+.. autosummary::
+    :toctree: _api
 
-```{eval-rst}
-.. autoclass:: tstrait.PhenotypeResult
+    PhenotypeResult
+    GeneticResult
 ```
-
-```{eval-rst}
-.. autoclass:: tstrait.GenotypeResult
-```

docs/citation.md

@@ -0,0 +1,10 @@
+(citation)=
+
+# Citing tstrait
+
+If you use `tstrait` in your research project, please cite the following paper:
+
+- Daiki Tagami, Gertjan Bisschop, and Jerome Kelleher (2023),
+  *tstrait: a quantitative trait simulator of tree sequence data*,
+
+Bibtex records:

docs/contributing.md

@@ -0,0 +1,96 @@
+(contributing)=
+
+# Contributing to tstrait
+
+All contributions, bug reports, documentation improvements and ideas are welcome. If you think
+there is anything missing, please open an [issue](https://github.com/tskit-dev/tstrait/issues)
+or [pull request](https://github.com/tskit-dev/tstrait/pulls) on Github.
+
+## Quick start
+
+### Initializing environment
+
+- Go to tstrait [Github repo](https://github.com/tskit-dev/tstrait) and click the "fork" button
+  to create your own copy of the project.
+- Clone the project to your own computer:
+
+```
+git clone https://github.com/your-user-name/tstrait.git
+cd tstrait
+git remote add upstream https://github.com/tskit-dev/tstrait.git
+git fetch upstream
+```
+
+This creates the directory `tstrait` and connects your repository to the upstream (main project)
+tstrait repository.
+
+- Install the [requirements](requirements).
+- Run the tests to ensure everything has worked: `python3 -m pytest`. These should all pass.
+
+### Develop your contribution
+
+- Make your changes in a local branch. On each commit, a
+  [pre-commit hook](https://pre-commit.com/) will check for code styles and common problems.
+  You can also use `pre-commit run` to run the checks without committing.
+
+### Submit your contribution
+
+- You can submit your contribution by pushing your changes back to your fork on Github:
+
+```
+git push origin branch-name
+```
+
+Afterwards, go to Github and open a pull request by pressing a green Pull Request button.
+
+- Please also refer to
+  [tskit documentation](https://tskit.dev/tskit/docs/stable/development.html)
+  for more details on the recommended Github workflow.
+
+(requirements)=
+
+## Requirements
+
+The list of packages needed for development are listed in `requirements.development.txt`.
+Install these by using either:
+
+```
+conda install --file requirements/development.txt
+```
+
+or
+
+```
+python -m pip install -r requirements/development.txt
+```
+
+## Documentation
+
+The documentation is written in markdown, and
+[Jupyter Book](https://jupyterbook.org/en/stable/intro.html) is used to build a HTML
+documentation. The Jupyter Book documentation offers
+[Tutorial](https://jupyterbook.org/en/stable/start/your-first-book.html), so please
+refer to it if you are new to the concept.
+
+All files that are used in the documentation are included in the `docs` directory. To build
+the documentation, run the following code in the `doc` directory:
+
+```
+jupyter-book build .
+```
+
+### API Reference
+
+The API reference is created by using the docstring written in each code. We follow the
+Numpy Docstring standard, and please refer to the
+[documentation](https://numpydoc.readthedocs.io/en/latest/format.html) for details.
+
+The API reference is built aumotically from docstring by using
+[sphinx.ext.autosummary](https://www.sphinx-doc.org/en/master/usage/extensions/autosummary.html).
+
+### Codes
+
+Almost all codes in the documentation are written by using the
+[IPython directive](https://matplotlib.org/sampledoc/ipython_directive.html) Sphinx
+extension. The code examples in the documentation are run during the doc building, so
+the code examples will always be up to date.