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  • Preferences (8.0)




Window | Preferences

The Preferences allow you personalizing most of the BayesiaLab features' options.

Updated Feature: General

The option Show BayesiaLab Startup Page has been added to let you choose if you want to get the Startup Page upon launching BayesiaLab.

Updated Feature: License Server

The option Inactivity Timeout Length (minutes) allows you defining if you want to use the automatic disconnection from BayesiaLicenseServer after an inactivity period. You can also set the length of the timeout length.

Updated Feature: Display

As of version 8.0, there are three sizes of the icons that can be used in BayesiaLab (e.g. in the toolbar).

The Look and Feel's changes are only taken into account after restarting BayesiaLab.

Updated Feature: Perspectives/Shortcuts

Given the importance of these settings, the previously called Perspectives has been renamed Perspectives/Shortcuts to clearly indicates that is also allows defining shortcuts. We also moved it at the root level of the Preferences to increase its visibility.

New Feature: Renderer

As of version 8.0, nodes can have various appearances.

You can manually set your preferred appearance/renderer when creating a node in a new graph, either manually or after loading data. If the chosen renderer is not available for the type of node (e.g. Bar for Function Nodes), the standard (Disc) representation will be used instead.

You can also set, for each renderer, the preferred properties for the Default and Minimized modes.

Updated Feature: Statistical Tools

As of version 8.0, BayesiaLab offers a new Bayesian Test for estimating if two set of numerical samples are significantly different.

This test is realized with a Bayesian network that have continuous nodes. Inference is done by using a Monte Carlo Markov Chain, whose parameters can be used defined.

As per the decision rule for the equivalence, it needs the definition of a Region Of Practical Equivalence (ROPE size). It defines an interval centered at 0, i.e. 0.2 defines the interval [-0.1, 0.1].