computePx {EDISON} | R Documentation |

## Compute projection matrix.

### Description

This function computes the projection matrix that is needed for calculation of the likelihood.

### Usage

```
computePx(len, x, delta2)
```

### Arguments

`len` |
Delimiting breakpoints. |

`x` |
The observations of x in the corresponding state. |

`delta2` |
Signal-to-noise ratio hyperparameter. |

### Value

The projection matrix.

### Author(s)

Sophie Lebre

### References

For more information about the hyperparameters and the functional form of the likelihood, 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.

### See Also

[Package

*EDISON*version 1.1.1 Index]