addNode: Add node to network
In mickash/Adaptive-Bayesian-Networks: Adaptive Bayesian Networks.

Description Usage Arguments Value

Adds a new node of to the network. NOTE: RESULTS WILL BE CLEARED. If you want to have access to past results you must copy and store them elsewhere before calling this function. NOTE: ADDING A NODE CAN RESULT IN A NEW DATA TABLE BEING CREATED.

1 2	addNode(net, type, values, name, parents, params, params2 = NULL, miscString = NULL, cn = NULL, deepUpdate = F, dropImages = F)

`net`	the current network
`type`	string specifying type of node to add. Valid values are: 'noisyor', 'dirichlet', 'logand', 'logor', logprod', 'flag', and 'flagprod'.
`values`	vector of strings specifying the names of the values of the node. Note that all nodes must have at least two values, and noisy-or and logical-and type nodes can only have two values.
`name`	string specifying the name of the node.
`parents`	vector of integers specifying the indices of the parents of node. Note that logical-and nodes must have exactly two parents.
`params`	matrix specifying parameters of node.
`params2`	matrix specifying secondary parameters of node.
`miscString`	a string specifying additional settings. Currently used only for multinomial noisy-or nodes, in which case it should be 'T' if the secondary parameters matrix should be adaptable, and 'F' otherwise.
`cn`	A RODBC connection. Required if performing deep update.
`deepUpdate`	Specifies whether a deep update should be performed.
`dropImages`	Specifies if images should be dropped on a deepUpdate.