Mmodel_compute_cor {bigDM} | R Documentation |

## Compute correlation coefficients between diseases

### Description

This function takes a `inla`

object fitted using the `MCAR_INLA`

function and computes the correlation coefficients between diseases.

### Usage

```
Mmodel_compute_cor(model, n.sample = 10000)
```

### Arguments

`model` |
object of class |

`n.sample` |
numeric; number of samples to generate from the approximated joint posterior for the hyperparameters (see |

### Value

The input `inla`

object with two additional elements:

`summary.cor` |
A data.frame containing the mean, standard deviation, quantiles and mode of the correlation coefficients between diseases. |

`marginals.cor` |
A list containing the posterior marginal densities of the correlation coefficients between diseases. |

`summary.var` |
A data.frame containing the mean, standard deviation, quantiles and mode of the variances for each disease. |

`marginals.var` |
A list containing the posterior marginal densities of the variances for each disease. |

*bigDM*version 0.5.4 Index]