Bonder-MJ / glimix-core

Fast inference for Generalised Linear Mixed Models.

glimix-core

Fast inference over mean and covariance parameters for Generalised Linear Mixed Models. It implements the mathematical tricks of FaST-LMM for the special case of Linear Mixed Models with a linear covariance matrix and provides an interface to perform inference over millions of covariates in seconds. (Refer to FastScanner for details.) The Generalised Linear Mixed Model inference is implemented via Expectation Propagation and also makes use of several mathematical tricks to handle large data sets with thousands of samples and millions of covariates. (Refer to GLMMExpFam and FastScanner for details.)

Install

The recommended way of installing it is via conda

conda install -c conda-forge glimix-core

An alternative way would be via pip

pip install glimix-core

Running the tests

After installation, you can test it

python -c "import glimix_core; glimix_core.test()"

as long as you have pytest.

Authors

• Danilo Horta

License

This project is licensed under the MIT License - see the License file file for details.