An important part of a network is the list of
nodes. The nodes summarize the local properties of a node, given the
parents of the node.
node (idx,parents,type="discrete",name=paste(idx),
levels=2,levelnames=paste(1:levels),position=c(0,0))
# S3 method for node
print (x,filename=NA,condposterior=TRUE,condprior=TRUE,...)
# S3 method for node
plot (x,cexscale=10,notext=FALSE,...)
nodes(nw)
nodes(nw) <- valueThe node creator function returns an object of class
node, which is a list with the following
elements (properties),
an integer. A unique index for this node. It MUST correspond to the column index of the variable in the data frame.
a string. The printed name of the node.
a string. Either "continuous" or "discrete".
an integer. If the node is of type "discrete", this
integer is the
number of levels of the node.
if type is "discrete", this is a vector of
strings (same length as levels) with the names of the
levels. If type is "continuous", the node does not have this property.
a vector of indices of the parents to this node. It is
best to manage this vector using the insert function.
a numeric vector, matrix or multiway array, giving the
initial probability distribution. If the node is discrete,
prob is a multiway array. If the node is continuous,
prob is a matrix with one row for each configuration of the
discrete parents, reducing to a vector if the node has no discrete parents.
a list, generated by conditional giving
the parameter priors deduced from
jointprior using the master prior procedure (see
localmaster).
a list, which gives the parameter posteriors obtained from
learnnode.
a numeric giving the log likelihood contribution for this node,
calculated in learnnode.
a numeric vector, matrix or multiway array similar to prob, added by
makesimprob and used by rnetwork.
an object of class node.
a numeric vector with indices of the parents of the node.
an integer, which gives the index of the node (the column number of the corresponding data frame).
a string, which gives the type of the node. Either
"discrete" (for factors) or "continuous" (for numeric).
a string, which gives the name used when plotting and printing. Defaults to the column name in the data frame.
an integer. If type is "discrete", this is
the number of levels for the discrete variable.
if type is "discrete", this is a vector of
strings (same length as levels) with the names of the
levels. If type is "continuous", the argument is ignored.
a numeric vector with coordinates where the node should
appear in the
plot. Usually set by network and drawnetwork.
an object of class network.
a list of elements of class node.
a string or NA. If not NA, output is
printed to a file.
a logical. If TRUE, the conditional prior is
printed, see conditional.
a logical. If TRUE, the conditional posterior is
printed, see learn.
a numeric. Scale parameter to set the size of the nodes.
a logical. If TRUE, no text is displayed in the nodes on the plot.
additional plot arguments.
Susanne Gammelgaard Bottcher,
Claus Dethlefsen rpackage.deal@gmail.com.
The operations on a node are typically done when operating on a
network, so these functions are not to be called
directly.
When a network is created with network, the nodes in the
nodelist are created using the node procedure.
Local
probability distributions are added as the property prob to
each node using prob.node. If the node is continuous, this is a
numeric vector with
the conditional variance and the conditional regression coefficients
arising from a regression on the continuous parents, using data. If
the node has discrete parents, prob is a matrix with a row
for each configuration of the discrete parents. If the node is
discrete, prob is a multiway array which gives the conditional
probability distribution for each configuration of the discrete
parents. The generated prob can be replaced to match the prior
information available.
nodes gives the list of nodes of a network. localprob
gives the probability distribution for each node in the network.