mlpY {BLSM} | R Documentation |

## Network (positive) log-likelihood

### Description

Compute the (positive) log-likelihood of the whole observed network based on the latent positions estimates and the model assumptions. The inputs are slightly different from those of lpY, so the function basically applies some preprocessing before calling lpY and returning its value with the opposite sign.

### Usage

```
mlpY(avZ, Y, W)
```

### Arguments

`avZ` |
Vector containing the |

`Y` |
Adjacency matrix of the observed network |

`W` |
BLSM Weights matrix of the observed network |

### Value

Log-likelihood of the observed network

[Package

*BLSM*version 0.1.0 Index]