name
:
name of the network
num.nodes
:
number of nodes in the network
variables
:
names of the variables in the network
discreteness
:
TRUE
if variable is discrete, FALSE
if variable is continue
node.sizes
:
if variable i
is discrete, node.sizes[i]
contains the cardinality of i
,
if i
is instead discrete the value is the number of states variable i
takes when discretized
cpts
:
list of conditional probability tables of the network
dag
:
adjacency matrix of the network
wpdag
:
weighted partially dag
scoring.func
:
scoring function used in structure learning (when performed)
struct.algo
:
algorithm used in structure learning (when performed)
num.time.steps
:
number of instants in which the network is observed (1, unless it is a Dynamic Bayesian Network)
discreteness
:
TRUE
if variable is discrete, FALSE
if variable is continue