mgcpy 0.0.3

A set of tools in Python for multiscale graph correlation and other statistical tests

# mgcpy

[](https://coveralls.io/github/NeuroDataDesign/mgcpy?branch=master)
[](https://travis-ci.com/NeuroDataDesign/mgcpy)
[](https://pypi.org/project/mgcpy/)
[](https://pypi.org/project/mgcpy/)
[](https://zenodo.org/badge/latestdoi/147731955)
[](https://mgcpy.readthedocs.io/en/latest/?badge=latest)
[](https://opensource.org/licenses/Apache-2.0)
[](https://www.python.org/dev/peps/pep-0008/)
<a href="https://codeclimate.com/github/NeuroDataDesign/mgcpy/maintainability"><img src="https://api.codeclimate.com/v1/badges/979888a65926b3f27971/maintainability" /></a>

`mgcpy` is a Python package containing tools for multiscale graph correlation and other statistical tests, that is capable of dealing with high dimensional and multivariate data.

## Installation Guide:

### Install from PyPi
```
pip3 install mgcpy
```

### Install from Github
```
git clone https://github.com/NeuroDataDesign/mgcpy
cd mgcpy
python3 setup.py install
```
- `sudo`, if required
- `python3 setup.py build_ext --inplace # for cython`, if you want to test in-place, first execute this

## Setting up the development environment:
- Install [docker](https://docs.docker.com/install/)
- Build the docker image, `docker build -t mgcpy-dev:latest .`
- This takes 10 to 15 mins to build
- Launch the container to go into mgcpy's dev env, `docker run -it --rm --name mgcpy-dev-env mgcpy-dev`

## MGC Algorithm's Flow

## License

This project is covered under the **Apache 2.0 License**.