The Bayesian Analysis Toolkit is a software analysis package which allows to address the main goals of a typical data analysis:
- compare model predictions with data,
- draw conclusions on the validity of the model as a representation of the data and
- extract the possible values of parameters within the context of a model.
The BAT is based on Bayes' Theorem and is realized with the use of Markov Chain Monte Carlo. This gives access to the full posterior probability distribution and enables straightforward parameter estimation, limit setting and uncertainty propagation.
The BAT is implemented in C++ on top of CERN's ROOT with emphasis put on flexibility and modularity in defining models while keeping in mind the reliability and speed requirements of the numerical operations.
The information about the main features introduced in this version
can be found in doc/releasenotes.md
. The detailed list of changes
can be found in doc/ChangeLog
.
See doc/CREDITS
file for list of contributors to BAT.
All BAT releases are available from http://mpp.mpg.de/bat/. The
source code is managed online at https://github.com/bat/bat. BAT is
open-source software under the GPLv3 or later. See doc/COPYING
and
doc/LICENSE
for licensing details.
Directory bat/
:
doc/
: documentation about BATexamples/
: well commented example programsBAT/
: BAT header filessrc/
: BAT source filesmodels
: models and interfaces for BATtools
: tools useful for BATINSTALL.md
: instructions to install BAT on your systemREADME.md
: basic information about BAT
Other files distributed with BAT are part of installation and configuration system.
See the INSTALL.md
file for installation instructions. The
instructions for the latest development version are also available
online.
For additional information and contacting the authors, please consult the BAT web page at http://mpp.mpg.de/bat/. If you want to report an error or file a request, please file an issue at https://github.com/bat/bat/issues.