1 BAT - Bayesian Analysis Toolkit
2 ===============================
4 The Bayesian Analysis Toolkit is a software analysis
package which allows
5 to address the main goals of a typical data analysis:
7 - compare model predictions with data,
8 - draw conclusions on the validity of the model as a representation
10 - extract the possible values of parameters within the context of
13 The BAT is based on Bayes' Theorem and is realized with the use of Markov
14 Chain Monte Carlo. This gives access to the full posterior probability
15 distribution and enables straightforward parameter estimation, limit
16 setting and uncertainty propagation.
18 The BAT is implemented in C++ on top of CERN's ROOT with emphasis put
19 on flexibility and modularity in defining models while keeping in mind
20 the reliability and speed requirements of the numerical operations.
22 The information about the main features introduced in this version
23 can be found in `doc/releasenotes.md`. The detailed list of changes
24 can be found in `doc/ChangeLog`.
29 See `doc/CREDITS` file for list of contributors to BAT.
34 All BAT releases are available from http:
35 source code is managed online at https:
36 open-source software under the GPLv3 or later. See `doc/COPYING` and
37 `doc/LICENSE` for licensing details.
44 * `doc/`: documentation about BAT
45 * `examples/`: well commented example programs
46 * `BAT/`: BAT header files
47 * `src/`: BAT source files
48 * `models`: models and interfaces for BAT
49 * `tools`: tools useful for BAT
50 * `INSTALL.md`: instructions to install BAT on your system
51 * `README.md`: basic information about BAT
53 Other files distributed with BAT are part of installation and configuration
59 See the `INSTALL.md` file for installation instructions. The
60 instructions for the latest development version are also available
67 For additional information and contacting the authors, please consult
68 the BAT web page at http:
69 error or file a request, please file an issue at
1.8.6 
