inspect_bnc_dag | R Documentation |
Functions for inspecting a bnc_dag
object.
class_var(x) features(x) vars(x) families(x) modelstring(x) feature_families(x) narcs(x) is_semi_naive(x) is_anb(x) is_nb(x) is_ode(x)
x |
The |
class_var
: Returns the class variable.
features
: Returns the features.
vars
: Returns all variables (i.e., features + class).
families
: Returns the family of each variable.
modelstring
: Returns the model string of the network in bnlearn format (adding a space in between two families).
feature_families
: Returns the family of each feature.
narcs
: Returns the number of arcs.
is_semi_naive
: Returns TRUE if x
is a semi-naive Bayes.
is_anb
: Returns TRUE if x
is an augmented naive Bayes.
is_nb
: Returns TRUE if x
is a naive Bayes.
is_ode
: Returns TRUE if x
is a one-dependence estimator.
data(car) nb <- bnc('nb', 'class', car, smooth = 1) narcs(nb) is_ode(nb)
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