BackdoorGraph (bayesserver 11.0 API)

java.lang.Object
- com.bayesserver.causal.BackdoorGraph

```
public final class BackdoorGraph
extends Object
```
Methods for constructing the Backdoor graph or proper Backdoor graph from a Bayesian network. The proper back-door graph, is obtained from G by removing the first edge of every proper causal path from X to Y.

Method Summary

All Methods Static Methods Concrete Methods
Modifier and Type	Method	Description
`static void`	`convert(Network network, Evidence evidence, Distribution query, BackdoorGraphOptions options)`	Constructs the Backdoor graph or the proper Backdoor graph from a Bayesian network, one of more treatments (X) and one or more outcomes (Y).
`static void`	`convert(Network network, List<CausalNode> treatments, List<CausalNode> outcomes, BackdoorGraphOptions options)`	Constructs the Backdoor graph or the proper Backdoor graph from a Bayesian network, one of more treatments (X) and one or more outcomes (Y).

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Method Detail
  - convert
```
public static void convert(Network network,
                           Evidence evidence,
                           Distribution query,
                           BackdoorGraphOptions options)
```
    Constructs the Backdoor graph or the proper Backdoor graph from a Bayesian network, one of more treatments (X) and one or more outcomes (Y).
    
    Parameters:
    
    network - The Bayesian network, which will be edited in-place.
    
    evidence - Evidence which contains one or more interventions (treatments X), and optionally other standard (non-intervention) evidence.
    
    query - One or more outcomes (Y).
    
    options - Options for the conversion.
  - convert
```
public static void convert(Network network,
                           List<CausalNode> treatments,
                           List<CausalNode> outcomes,
                           BackdoorGraphOptions options)
```
    Constructs the Backdoor graph or the proper Backdoor graph from a Bayesian network, one of more treatments (X) and one or more outcomes (Y).
    
    Parameters:
    
    network - The Bayesian network, which will be edited in place.
    
    treatments - One or more nodes with interventions (do) evidence set.
    
    outcomes - One or more outcomes (Y).
    
    options - Options for the conversion.