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https://github.com/handley-lab/lsbi
Linear Simulation Based Inference
https://github.com/handley-lab/lsbi
Last synced: about 2 months ago
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Linear Simulation Based Inference
- Host: GitHub
- URL: https://github.com/handley-lab/lsbi
- Owner: handley-lab
- License: mit
- Created: 2023-10-16T15:25:13.000Z (about 1 year ago)
- Default Branch: master
- Last Pushed: 2024-09-29T18:26:07.000Z (3 months ago)
- Last Synced: 2024-10-31T13:26:43.416Z (about 2 months ago)
- Language: Python
- Size: 318 KB
- Stars: 2
- Watchers: 3
- Forks: 0
- Open Issues: 6
-
Metadata Files:
- Readme: README.rst
- Contributing: .github/CONTRIBUTING.md
- License: LICENSE
- Code of conduct: .github/CODE_OF_CONDUCT.md
Awesome Lists containing this project
README
=======================================
lsbi: Linear Simulation Based Inference
=======================================
:lsbi: Linear Simulation Based Inference
:Author: Will Handley & David Yallup
:Version: 0.12.3
:Homepage: https://github.com/handley-lab/lsbi
:Documentation: http://lsbi.readthedocs.io/.. image:: https://github.com/handley-lab/lsbi/actions/workflows/unittests.yaml/badge.svg?branch=master
:target: https://github.com/handley-lab/lsbi/actions/workflows/unittests.yaml?query=branch%3Amaster
:alt: Unit test status
.. image:: https://github.com/handley-lab/lsbi/actions/workflows/build.yaml/badge.svg?branch=master
:target: https://github.com/handley-lab/lsbi/actions/workflows/build.yaml?query=branch%3Amaster
:alt: Build status
.. image:: https://codecov.io/gh/handley-lab/lsbi/branch/master/graph/badge.svg
:target: https://codecov.io/gh/handley-lab/lsbi
:alt: Test Coverage Status
.. image:: https://readthedocs.org/projects/lsbi/badge/?version=latest
:target: https://lsbi.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status
.. image:: https://badge.fury.io/py/lsbi.svg
:target: https://badge.fury.io/py/lsbi
:alt: PyPi location
.. image:: https://anaconda.org/handley-lab/lsbi/badges/version.svg
:target: https://anaconda.org/handley-lab/lsbi
:alt: Conda location
.. image:: https://zenodo.org/badge/705730277.svg
:target: https://zenodo.org/doi/10.5281/zenodo.10009816
:alt: Permanent DOI for this release
.. image:: https://img.shields.io/badge/license-MIT-blue.svg
:target: https://github.com/handley-lab/lsbi/blob/master/LICENSE
:alt: License informationA repository for linear modelling and simulation based inference
UNDER CONSTRUCTION
Features
--------Installation
------------``lsbi`` can be installed via pip
.. code:: bash
pip install lsbi
via conda
.. code:: bash
conda install -c handley-lab lsbi
or via the github repository
.. code:: bash
git clone https://github.com/handley-lab/lsbi
cd lsbi
python -m pip install .You can check that things are working by running the test suite:
.. code:: bash
python -m pytest
black .
isort --profile black .
pydocstyle --convention=numpy lsbiDependencies
~~~~~~~~~~~~Basic requirements:
- Python 3.6+
- `anesthetic `__Documentation:
- `sphinx `__
- `numpydoc `__Tests:
- `pytest `__
Documentation
-------------Full Documentation is hosted at `ReadTheDocs `__. To build your own local copy of the documentation you'll need to install `sphinx `__. You can then run:
.. code:: bash
python -m pip install ".[all,docs]"
cd docs
make htmland view the documentation by opening ``docs/build/html/index.html`` in a browser. To regenerate the automatic RST files run:
.. code:: bash
sphinx-apidoc -fM -t docs/templates/ -o docs/source/ lsbi/
Citation
--------If you use ``lsbi`` to generate results for a publication, please cite
as: ::Handley et al, (2024) lsbi: Linear Simulation Based Inference.
or using the BibTeX:
.. code:: bibtex
@article{lsbi,
year = {2023},
author = {Will Handley et al},
title = {lsbi: Linear Simulation Based Inference},
journal = {In preparation}
}Contributing
------------
There are many ways you can contribute via the `GitHub repository `__.- You can `open an issue `__ to report bugs or to propose new features.
- Pull requests are very welcome. Note that if you are going to propose major changes, be sure to open an issue for discussion first, to make sure that your PR will be accepted before you spend effort coding it.Questions/Comments
------------------