Network.Fast() and Network.STD()
Network.Fast() and Network.STD(). If the marginal distribution of a certain node is larger than 0.5, we consider this node as selected. The aim of this function is to customize the process of summarizing.
Subnetwork.Select(net,trace,node.based=NULL,infinite=TRUE,steps=5)net in function Network.STD and Network.Fast
Networks.STD() and Networks.Fast().Please set as trace=total$trace where total is the output of the two functions, Networks.STD() and Networks.Fast(); you can also provide a binary 1 by "n" matrix representing the "important"(1) and "unimportant"(0) nodesinfinite=TRUE if searching the "important" sub network based on one node without the limitation of maximum steps; infinite=FALSE if searching the sub network under a regulated wayNetwork.Fast() and Network.STD()