discreteness&lt;-

discreteness&lt;-,BN-method

discreteness&lt;-,BNDataset-method

<p>a vector of elements in {<code>c</code>,<code>d</code>} for continuous and discrete variables (respectively).</p>

value

<p>Set the list of variable status for the variables in a network or a dataset.</p>

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.

discreteness<-: set status (discrete or continuous) of the variables of an object.

Description

Usage

Arguments