New Features & Updates (06/2013)

In addition to the adaptation of BayesiaLab to Java 7, here is a small selection of features that have been introduced with version 5.2:

• An entirely redesigned Target Optimization Tool, which uses a Genetic Algorithm for comprehensive optimizations.
• Automatic Computation of Contributions for each network generated through Multi-Quadrant Analysis.
• Disjunctive Inference and Negation of the Evidence Set for scenario analysis.
• Workspace to start BayesiaLab with a set of previously opened networks.
• A “Token Borrowing” function for floating licenses, which allows users to work offline, e.g. while traveling.