grain_compile: Compile a graphical independence network (a Bayesian network)

In hojsgaard/gRain: Graphical Independence Networks

Compile a graphical independence network (a Bayesian network)

Description

Compiles a Bayesian network. This means creating a junction tree and establishing clique potentials.

Usage

## S3 method for class 'grain'
compile(
  object,
  propagate = FALSE,
  tug = NULL,
  root = NULL,
  control = object$control,
  details = 0,
  ...
)

Arguments

object	A grain object.
propagate	If TRUE the network is also propagated meaning that the cliques of the junction tree are calibrated to each other.
tug	A triangulated undirected graph.
root	A set of variables which must be in the root of the junction tree
control	Controlling the compilation process.
details	For debugging info. Do not use.
...	Currently not used.

Value

A compiled Bayesian network; an object of class grain.

Author(s)

Søren Højsgaard, [e-mail]

References

Søren Højsgaard (2012). Graphical Independence Networks with the gRain Package for R. Journal of Statistical Software, 46(10), 1-26. https://www.jstatsoft.org/v46/i10/.

See Also

grain, propagate, propagate.grain, triangulate, rip, junctionTree

hojsgaard/gRain documentation built on Jan. 10, 2024, 9:27 p.m.