nbn2nbn: computes the /nbn/ changing its topological order

In rbmn: Handling Linear Gaussian Bayesian Networks

computes the /nbn/ changing its topological order

Description

returns the proposed /nbn/ with a new topological order without modifying the joint distribution of all variables.
This allows to directly find regression formulae within the Gaussian Bayesian networks.

Usage

nbn2nbn(nbn, norder)

Arguments

nbn	The /nbn/ to transform.
norder	The topological order to follow. It can be indicated by names or numbers. When not all nodes are included, the resulting /nbn/ is restricted to these nodes after marginalization.

Details

BE aware that for the moment, no check is made about the topological order and if it is not, the result is FALSE!

Value

The resulting /nbn/.

Examples

 print8mn(nbn2mn(rbmn0nbn.01, algo=1));
 print8mn(nbn2mn(rbmn0nbn.01, algo=2));
 print8mn(nbn2mn(rbmn0nbn.01, algo=3));
 print8mn(nbn2mn(nbn2nbn(rbmn0nbn.02, c(1, 2, 4, 5, 3))));
 print8mn(nbn2mn(nbn2nbn(rbmn0nbn.02, c(4, 1, 2, 3, 5))));

rbmn documentation built on July 9, 2023, 6:37 p.m.