interventions&lt;-

interventions&lt;-,InferenceEngine-method

Add a list of interventions to an InferenceEngine, using a list composed by the two following vectors:<dl>
<dt><code>intervention.vars</code></dt>
<dd>vector of the variables we manipulate;</dd><dt><code>intervention.vals</code></dt>
<dd>vector of values for the variables in <code>observed.vars</code> in the corresponding position.</dd>
</dl>

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.

Alberto Franzin

bnstruct

Bayesian Network Structure Learning from Data with Missing
Values

Francesco Sambo

interventions&lt;- function

<dl><dt>x</dt>
<dd>an <code>InferenceEngine</code>.</dd>
<dt>value</dt>
<dd>the list of interventions of the <code>InferenceEngine</code>.</dd></dl>

Arguments

Add a list of interventions to an InferenceEngine, using a list composed by the two following vectors:<dl>
<dt><code>intervention.vars</code></dt>
<dd>vector of the variables we manipulate;</dd>

<dt><code>intervention.vals</code></dt>
<dd>vector of values for the variables in <code>observed.vars</code> in the corresponding position.</dd>


</dl>

set the list of interventions for an InferenceEngine. — interventions&lt;-

<dl>

<dt>x</dt>
<dd>an <code>InferenceEngine</code>.</dd>


<dt>value</dt>
<dd>the list of interventions of the <code>InferenceEngine</code>.</dd>

</dl>

interventions<-: set the list of interventions for an `InferenceEngine`.

Description

Usage

Arguments

Details