Metadata-Version: 1.1
Name: abrox
Version: 2.0.2
Summary: A tool for Approximate Bayesian Computation
Home-page: https://github.com/mertensu/ABrox
Author: Ulf Mertens
Author-email: mertens.ulf@gmail.com
License: MIT
Download-URL: https://github.com/mertensu/ABrox/archive/0.1.tar.gz
Description-Content-Type: UNKNOWN
Description: ![Logo](abrox/gui/icons/readme_logo.png)
        
        # Approximate Bayes rocks!
        
        `ABrox` is a python package for Approximate Bayesian Computation accompanied by a user-friendly graphical interface. 
        
        ## Features
        
        * Model comparison via approximate Bayes factors
            + rejection
            + random forest
        * Parameter inference
            + rejection
            + MCMC
         * Cross-validation
        
        ## Installation
        
        Note that `ABrox`only works with Python 3.
        
        `ABrox` can be installed via pip. Simply open a terminal and type:
        
        ```bash
        pip install abrox
        ```
        
        It might take a few seconds since there are several dependencies that you might have to install as well. 
        
        ### MacPorts
        
        If you installed Python via MacPorts, the `abrox-gui` command after installation of `abrox` does not work.
        You can alternatively start the GUI via (assuming Python version 3.5):
        
        ```bash
        cd /Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/abrox/gui/
        python3.5 main.py
        ```
        
        ### Windows
        
        Unfortunately, the installation under Windows is a bit cumbersome. We explain the relevant steps below.
        
        If not already done, install a Python3 version from [here](https://www.python.org/).
        
        Check the version of Python that is installed by typing `python` into the console.
        
        ![Python on Windows](abrox/gui/icons/python_windows2.png)
        
        Now, install Visual Studio Build Tools from:
        
        1. [here](http://landinghub.visualstudio.com/visual-cpp-build-tools)
        
        Now visit the following page to install the Scipy wheel. Choose the link that fits
        your Python version (see picture above). `cp` should be followed by the actual version (e.g. `cp36`) while
        the last part of the link should match the bit-version (e.g. `win32`).  
        
        2. [here](http://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy)
        
        After the installation, open a console in the directory the wheel has been downloaded into and type:
        
        ```bash
        python -m pip install #name_of_the_whl_file
        ``` 
        
        Repeat the same steps for the Numpy wheel:
        
        3. [here](http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy)
        
        Now, open a terminal and type:
        
        ```bash
        python -m pip install abrox
        ```
        
        You are now ready to use `ABrox`!
        
        ## ABrox using the GUI
        
        After `ABrox` has been installed, you can start the user interface by typing `abrox-gui`.
        We provide several templates in order to get more familiar with the GUI. 
        
        ## ABrox using Python
        
        If you are more comfortable with plain Python, you can run your project once from the GUI and
        continue working with the Python-file that has been generated in the output folder.
        
        ## Templates
        
        We provide a few example project files so you can see how `ABrox` works ([here](https://github.com/mertensu/ABrox/tree/master/project_files)). 
        Currently, we provide:
        
        * Two-sample t-test
        * Levene-Test
        
        ### Contributors
        
        * [Ulf Mertens](http://www.psychologie.uni-heidelberg.de/ae/meth/team/mertens/)
        * Stefan Radev
Platform: UNKNOWN
