# Continuous Chance Node

A continuous chance node (or CG node = continuous Gaussian node) represents a random variable with a Gaussian (normal) conditional distribution function. A continuous chance node can be added to the current network by activating the continuous chance tool and clicking somewhere in the network pane.

Currently, there are some restrictions to the use of continuous chance nodes, partly because the underlying theory is still being developed. The restrictions are listed below:

- The only continuous chance nodes currently supported represent variables with Gaussian (normal) distribution functions.

- A continuous chance node cannot be parent of a discrete chance node.

- Continuous nodes cannot be used in influence diagrams. That is, continuous nodes cannot exist in a network also containing utility nodes or decision nodes.