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BAT is still being maintained, but addition of new features is unlikely. Check out our new incarnation, BAT.jl, the Bayesian analysis toolkit in Julia. In addition to Metropolis-Hastings sampling, BAT.jl supports Hamiltonian Monte Carlo (HMC) with automatic differentiation, automatic prior-based parameter space transformations, and much more. See the BAT.jl documentation.
The Bayesian Analysis Toolkit is a software analysis package which allows to address the main goals of a typical data analysis:
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.
See doc/CREDITS file for list of contributors to BAT.
The latest code and official BAT releases are published online at https://github.com/bat/bat. Older BAT releases are still available from http://mpp.mpg.de/bat/. BAT is open-source software under the LGPLv3 or later. See doc/COPYING and doc/LICENSE for licensing details.
For installation instructions, see the INSTALL.md file or the corresponding manual section
reference guide: html
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.
Directory bat/:
Other files distributed with BAT are part of the configuration and build system.
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