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

grain_compile {gRain}

R Documentation

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, sorenh@math.aau.dk

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/.