bnlearn (version 3.9)

model string utilities: Build a model string from a Bayesian network and vice versa

Description

Build a model string from a Bayesian network and vice versa.

Usage

modelstring(x)
modelstring(x, debug = FALSE) <- value
model2network(string, ordering = NULL, debug = FALSE)
## S3 method for class 'bn':
as.character(x, ...)
## S3 method for class 'character':
as.bn(x)

Arguments

x

an object of class bn. modelstring (but not its replacement form) accepts also objects of class bn.fit.

string

a character string describing the Bayesian network.

ordering

the labels of all the nodes in the graph; their order is the node ordering used in the construction of the bn object. If NULL the nodes are sorted alphabetically.

value

a character string, the same as the string.

debug

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

...

extra arguments from the generic method (currently ignored).

Value

• model2network and as.bn return an object of class bn; modelstring and as.character.bn return a character string.

Details

The strings returned by modelstring have the same format as the ones returned by the modelstring function in package deal; network structures may be easily exported to and imported from that package (via the model2network function).

Examples

data(learning.test)
res = set.arc(gs(learning.test), "A", "B")
res
modelstring(res)
res2 = model2network(modelstring(res))
res2
all.equal(res, res2)