nwfsort) and for
making a network family unique (see the unique method for
networkfamily objects) are available.networkfamily(data,nw=network(data), prior=jointprior(nw),
trylist=vector("list",size(nw)), timetrace=TRUE)
## S3 method for class 'networkfamily':
print(x,...)
## S3 method for class 'networkfamily':
plot(x,layout=,
cexscale=5,arrowlength=0.1,sscale=7,...)network. This should be the
empty network for the set of variables.network.jointprior.maketrylist.TRUE, prints some timing
information on the screen.networkfamily.rep(min(1+floor(sqrt(length(x))),5),2).sscale.networkfamily returns a list with two components,networkfamily.maketrylist.networkfamily generates and learns all possible networks with
the nodes given as in the initial network nw. This is done by
successively trying to generate the networks with all possible arrows
to/from each node (see addarrows). If there is a ban list
present in nw (see network), then this is
respected, as are the restrictions described in insert.
After generation of all possible networks, a test for cycles (see
cycletest) is performed and only networks with directed
acyclic graphs are returned.network,
genlatex,
heuristic,
nwfsort,
unique.networkfamily,
elementin,
addarrows,
cycletestdata(rats)
allrats <- getnetwork(networkfamily(rats))
plot(allrats)
print(allrats)Run the code above in your browser using DataLab