NetworkProbExp {EDISON} | R Documentation |

## Calculates the prior probability of the network using the exponential prior.

### Description

This function calculates the log prior probability of the network structure.
It uses the exponential information sharing prior.

### Usage

```
NetworkProbExp(network.info)
```

### Arguments

### Value

Returns the log prior probability of the network segments.

### Author(s)

Frank Dondelinger

### References

For information about the exponential information sharing prior,
see:

Husmeier et al. (2010), "Inter-time segment information sharing for
non-homogeneous dynamic Bayesian networks", NIPS.

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

### See Also

`NetworkRatioExp`

, `CalculatePriorRatio`

[Package

*EDISON* version 1.1.1

Index]