propagate.grain: Propagate a graphical independence network (a Bayesian network)
Description
Propagation refers to calibrating the cliques of the junction tree so
that the clique potentials are consistent on their intersectionsUsage
## S3 method for class 'grain':
propagate(object, details = object$details,...)
Arguments
details
For debugging info
Value
- A compiled and propagated grain object.
References
S�ren H�jsgaard (2012). Graphical Independence Networks with the
gRain Package for R. Journal of Statistical Software, 46(10), 1-26.
http://www.jstatsoft.org/v46/i10/.