Metadata-Version: 2.0
Name: limmbo
Version: 0.1.1
Summary: Linear mixed model bootstrapping
Home-page: https://github.com/HannahVMeyer/limmbo
Author: Hannah Meyer
Author-email: hannah@ebi.ac.uk
License: Apache License 2.0
Download-URL: https://github.com/HannahVMeyer/limmbo
Description-Content-Type: UNKNOWN
Keywords: lmm,bootstrapping
Platform: Windows
Platform: MacOS
Platform: POSIX
Platform: POSIX :: Linux
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Requires-Dist: argparse (>=1.1)
Requires-Dist: matplotlib (>=2.1.0)
Requires-Dist: scipy (>=0.19.1)
Requires-Dist: bottleneck (>=1.2.1)
Requires-Dist: pp (>=1.6.5)
Requires-Dist: pandas (>=0.22)
Requires-Dist: numpy (>=1.14.0)
Requires-Dist: toolz (>=0.9.0)
Requires-Dist: scipy-sugar (>=1.0.4)
Requires-Dist: limix (>=1.0.12)
Requires-Dist: limix-legacy (>=0.8.12)
Requires-Dist: pandas-plink (>=1.2.15)

# LiMMBo

LiMMBo enables multivariate analysis of high-dimensional phenotypes based on linear mixed models 
with bootstrapping (LiMMBo). LiMMBo is available as an open source Python module. It builds on and can be used in combination with [Limix](https://github.com/limix/limix), a flexible and efficient linear mixed model library with interfaces to Python.

A description of the public interface can be found [here](https://www.ebi.ac.uk/~hannah/limmbo/index.html)

## Install

The recommended way of installing it is via (will be updated soon)

## Problems

If you encounter any issue, please, [submit them](https://github.com/HannahVMeyer/limmbo/issues).


## License

This project is licensed under the Apache License (Version 2.0, January 2004) -
see the [LICENSE](LICENSE) file for details


