A flexible and fast mixed model toolbox
Project description
limix
Genomic analyses require flexible models that can be adapted to the needs of the user.
Limix is a flexible and efficient linear mixed model library with interfaces to Python. It includes methods for
- Single-variant association and interaction testing
- Variance decompostion analysis with linear mixed models
- Association and interaction set tests
- Different utils for statistical analysis, basic i/o, and plotting.
The documentation can be found at https://limix.readthedocs.io/en/develop.
Install
The development version of limix can be installed on macOS and Linux via
bash <(curl -fsSL https://raw.githubusercontent.com/limix/limix/2.0.0/install)
Stable versions of limix are installed via conda though
conda install -c conda-forge limix
It will handle all the necessary dependencies and should work for GNU/Linux distributions, MacOS, and Windows.
An alternative way would be via pip In this case, first you need to install hcephes and liknorm C libraries. Then,
An alternative way would be via pip
pip install limix
Running the tests
After installation, you can test it
python -c "import limix; limix.test()"
as long as you have pytest.
Authors
License
This project is licensed under the Apache License License.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
