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        "author": "Ulf Mertens",
        "author_email": "mertens.ulf@gmail.com",
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        "description": "![Logo](abrox/gui/icons/readme_logo.png)\n\n# Approximate Bayes rocks!\n\n`ABrox` is a python package for Approximate Bayesian Computation accompanied by a user-friendly graphical interface. \n\n## Features\n\n* Model comparison via approximate Bayes factors\n    + rejection\n    + random forest\n* Parameter inference\n    + rejection\n    + MCMC\n * Cross-validation\n\n## Installation\n\nNote that `ABrox`only works with Python 3.\n\n`ABrox` can be installed via pip. Simply open a terminal and type:\n\n```bash\npip install abrox\n```\n\nIt might take a few seconds since there are several dependencies that you might have to install as well. \n\n### MacPorts\n\nIf you installed Python via MacPorts, the `abrox-gui` command after installation of `abrox` does not work.\nYou can alternatively start the GUI via (assuming Python version 3.5):\n\n```bash\ncd /Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/abrox/gui/\npython3.5 main.py\n```\n\n### Windows\n\nUnfortunately, the installation under Windows is a bit cumbersome. We explain the relevant steps below.\n\nIf not already done, install a Python3 version from [here](https://www.python.org/).\n\nCheck the version of Python that is installed by typing `python` into the console.\n\n![Python on Windows](abrox/gui/icons/python_windows2.png)\n\nNow, install Visual Studio Build Tools from:\n\n1. [here](http://landinghub.visualstudio.com/visual-cpp-build-tools)\n\nNow visit the following page to install the Scipy wheel. Choose the link that fits\nyour Python version (see picture above). `cp` should be followed by the actual version (e.g. `cp36`) while\nthe last part of the link should match the bit-version (e.g. `win32`).  \n\n2. [here](http://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy)\n\nAfter the installation, open a console in the directory the wheel has been downloaded into and type:\n\n```bash\npython -m pip install #name_of_the_whl_file\n``` \n\nRepeat the same steps for the Numpy wheel:\n\n3. [here](http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy)\n\nNow, open a terminal and type:\n\n```bash\npython -m pip install abrox\n```\n\nYou are now ready to use `ABrox`!\n\n## ABrox using the GUI\n\nAfter `ABrox` has been installed, you can start the user interface by typing `abrox-gui`.\nWe provide several templates in order to get more familiar with the GUI. \n\n## ABrox using Python\n\nIf you are more comfortable with plain Python, you can run your project once from the GUI and\ncontinue working with the Python-file that has been generated in the output folder.\n\n## Templates\n\nWe provide a few example project files so you can see how `ABrox` works ([here](https://github.com/mertensu/ABrox/tree/master/project_files)). \nCurrently, we provide:\n\n* Two-sample t-test\n* Levene-Test\n\n### Contributors\n\n* [Ulf Mertens](http://www.psychologie.uni-heidelberg.de/ae/meth/team/mertens/)\n* Stefan Radev",
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