IndependenceOptions (bayesserver 11.0 API)

java.lang.Object
- com.bayesserver.learning.structure.IndependenceOptions

```
public final class IndependenceOptions
extends Object
```
Options governing independence and conditional independence tests.

Constructor Summary

Constructors
Constructor Description

IndependenceOptions()

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`double`	`getSignificanceLevel()`	Gets the significance level used to accept or reject (conditional) independence tests.
`void`	`setSignificanceLevel(double value)`	Sets the significance level used to accept or reject (conditional) independence tests.

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

- Constructor Detail
  - IndependenceOptions
```
public IndependenceOptions()
```
- Method Detail
  - getSignificanceLevel
```
public double getSignificanceLevel()
```
    Gets the significance level used to accept or reject (conditional) independence tests.
    Statistical (conditional) independence tests return a p-value. The null hypothesis is that two nodes are (conditionally) independent. This is rejected if the p-value is less than the getSignificanceLevel().
    
    What this means is that links are more likely with higher significance levels.
    
    A value of 0.05 or 0.01 is usually assumed.
  - setSignificanceLevel
```
public void setSignificanceLevel(double value)
```
    Sets the significance level used to accept or reject (conditional) independence tests.
    Statistical (conditional) independence tests return a p-value. The null hypothesis is that two nodes are (conditionally) independent. This is rejected if the p-value is less than the getSignificanceLevel().
    
    What this means is that links are more likely with higher significance levels.
    
    A value of 0.05 or 0.01 is usually assumed.