Approximate Bayesian Computation with ABrox
This web page is the home of ABrox, a software that makes Approximate Bayesian Computation easy. The software was written by Ulf Mertens and Stefan Radev.
The corresponding GitHub repository can be found here:
- Downloading and installing Python
- Downloading and installing ABrox
Go to https://www.python.org/downloads/ and download the latest version of Python 3.x. Make sure you check Add Python to PATH in the installer.
Simply type pip install abrox into the console. If you are using Windows and assuming Python version 3.6, type python3.6 -m pip install abrox
After downloading, type: abrox-gui. The GUI should open.
If you encounter ANY problems during installation of any of the components, do not hesitate to contact us.
We provide several templates (.brox files) that can be imported from the GUI via 'Load Project'.
Currently, we provide:
- Two-sample t-test (t_test.bprox)
- Levene-Test (levene.bprox)
- A comparison of multinomial processing tree models (mptree.bprox)
The project-files can be downloaded here: