wpdag<-

wpdag<-,BN-method

matrix contaning the WPDAG of the object.

value


Set the weighted partially directed acyclic graph of a network (e.g. in case bootstrap on dataset is performed).


wpdag&lt;-

Bayesian Network Structure Learning from Data with Missing Values.
The package implements the Silander-Myllymaki complete search,
the Max-Min Parents-and-Children, the Hill-Climbing, the
Max-Min Hill-climbing heuristic searches, and the Structural
Expectation-Maximization algorithm. Available scoring functions are
BDeu, AIC, BIC. The package also implements methods for generating and using
bootstrap samples, imputed data, inference.

wpdag<-: set WPDAG of the object.

Description

Usage

Arguments