lim
Lim is an efficient implementation of Generalized Linear Mixed Models for genomic analysis.
Install
The recommended way of installing it is via conda
conda install -c conda-forge limix-inference
conda install h5py pandas tabulate pytest
and then
pip install lim
Running the tests
After installation, you can test it
python -c "import lim; lim.test()"
as long as you have pytest.
Documentation
Refer to the documentation for detailed information.
License
This project is licensed under the MIT License – see the LICENSE file for details.
Metadata
Release files for lim 1.2.8
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| lim-1.2.8.tar.gz | 15.2 kB | Details |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| lim-1.2.8-py3-none-any.whl | Python 3 | none | any | Details |
| lim-1.2.8-py2-none-any.whl | Python 2 | none | any | Details |
Total release size: 69.3 kB
Release files / lim-1.2.8.tar.gz
| Download URL | lim-1.2.8.tar.gz |
|---|---|
| Size | 15.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
Release files / lim-1.2.8-py3-none-any.whl
| Download URL | lim-1.2.8-py3-none-any.whl |
|---|---|
| Size | 27.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
Release files / lim-1.2.8-py2-none-any.whl
| Download URL | lim-1.2.8-py2-none-any.whl |
|---|---|
| Size | 27.1 kB |
| Tags | Python 2 |
|
SHA-256 checksum How to use checksums |
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