bn2 {bnmonitor} | R Documentation |
bn.fit
objects from bnlearn
Functions that transform an object of class bn.fit
and bn.fit.gnet
(a Gaussian Bayesian network) to objects of class GBN
or CI
.
bn2gbn(bnfit) bn2ci(bnfit)
bnfit |
object of class |
The function bn2gbn
returns an object of class GBN
consisting of a list with entries:
order
: An ordering of the nodes according to the graph.
mean
: The mean vector of the Gaussian distribution.
covariance
: The covariance matrix of the Gaussian distribution.
The function bn2ci
returns an object of class CI
consisting of the same list as GBN
, but with the additional entry cond_ind
. cond_ind
is a list where each entry consists of A
, B
and C
corresponding to the conditional independence statements A
independent of B
given C
embedded by the network.