deal (version 1.1-2)

insert: Insert/remove an arrow in network

Description

Inserts/removes one arrow in a network (if legal)

Usage

insert (nw,j,i,df,prior,nocalc=FALSE,trylist=rep(list(NULL),nw$n),smalldf=NA) 
remover(nw,j,i,df,prior,nocalc=FALSE,trylist=rep(list(NULL),nw$n),smalldf=NA)

Arguments

nw

A network.

j

The 'from' node.

i

The 'to' node.

df

Dataframe used for learning the network, see network.

prior

A joint prior, see jointprior.

nocalc

If TRUE, learning is not called.

trylist

Used internally for reusing learning of nodes, see maketrylist.

smalldf

Used for analysing networks with time-varying nodes, see timeslice.

Value

• A list with two elements
• nw
  A networkfamily with all created networks.
• trylist
  Updated.

Details

Examines if the arrow from j to i is legal according to the following criteria 1.{Arrows from/to the same node are not legal.} 2.{Arrows from continous nodes to discrete nodes are not legal.} 3.{Arrows from time-varying nodes to non-time-varying nodes are not legal, see timeslice.} 4.{Arrows banned in banlist are not legal, see drawnetwork.} 5.{Arrows already existing in the network are not legal.} If the arrow is not legal, a NULL network is returned. Otherwise, the arrow is inserted/removed, the network is re-learned (if nocalc=F). The trylist is updated.

References

Further information about Deal can be found at: http://www.math.auc.dk/novo/deal.

Examples

data(rats)
rats.nw    <- network(rats)
rats.nw    <- insert(rats.nw,2,1,nocalc=TRUE)$nw
rats.prior <- jointprior(rats.nw,12)

rats.nw2   <- network(rats)
rats.nw2   <- learn(rats.nw2,rats,rats.prior)$nw
rats.nw2   <- insert(rats.nw2,1,2,rats,rats.prior)$nw