bnlearn (version 0.8)

node ordering tools: Partial node ordering utilities

Description

Detect the partial node ordering implied by a network or generate a valid blacklist from a partial node ordering.

Usage

node.ordering(x, debug = FALSE)
  ordering2blacklist(nodes)

Arguments

x

an object of class bn.

nodes

a vector of character strings, the labels of the nodes. The ordering of the labels must reflect the partial node ordering of the nodes in the graph.

debug

a boolean value. If TRUE a lot of debugging output is printed; otherwise the function is completely silent.

Value

• node.ordering return a vector of character strings, an ordered set of node labels.

  ordering2blacklist returns a sanitized blacklist (a two-column matrix, whose columns are labeled from and to).

Examples

data(learning.test)
res = gs(learning.test, optimized = TRUE)
res$learning$ntests
# [1] 43
res = set.arc(res, "A", "B")
ord = node.ordering(res)
ord
# [1] "F" "C" "A" "B" "D" "E"

## partial node ordering saves us two tests in the v-structure
## detection step of the algorithm.
gs(learning.test, blacklist = ordering2blacklist(ord))$learning$ntests
# [1] 41