ClaRaF

ClaraF is a software tool developed by dcpst that aims to assist users in building and analyzing Bayesian Models. It allows users to create Bayesian networks by specifying variables, their states and relationships, and assigning probabilities to them.

ClaraF offers a user-friendly interface, allowing users to both create and edit their models with ease. It also provides various visualization tools, such as probability tables, influence diagrams, and graphs, making it easier for users to interpret the complex relationships within their models.

Users can easily test their models by inputting different scenarios and observing the output probabilities. ClaraF also offers sensitivity analysis, helping users identify which variables have the greatest influence on the model's outcome.

ClaraF is an excellent tool for researchers, students, and professionals working in fields that require probabilistic or risk analyses. Its versatility and ease of use make it an invaluable asset for those dealing with complex models.