sampleDelta2 {EDISON} | R Documentation |

## Sample delta squared.

### Description

This function samples the signal-to-noise hyperparameter delta squared.

### Usage

```
sampleDelta2(pos, x, q, B, S, sig2, alphad2, betad2)
```

### Arguments

`pos` |
The current segment. |

`x` |
Data, |

`q` |
Number of nodes. |

`B` |
Regression coefficients. |

`S` |
Network structure. |

`sig2` |
Sigma squared. |

`alphad2` |
Gamma prior hyperparameter. |

`betad2` |
Gamma prior hyperparameter. |

### Value

New sample of delta squared.

### Author(s)

Sophie Lebre

### References

For details of the sampling, see:

Dondelinger et al. (2012), "Non-homogeneous dynamic Bayesian networks with Bayesian regularization for inferring gene regulatory networks with gradually time-varying structure", Machine Learning.

[Package

*EDISON*version 1.1.1 Index]