This function performs posterior inference on the association matrix, returning the matrix of posterior probabilities of inclusion for each association gene expression - CGH. It also returns the binary matrix of significant links that exceed a threshold given as argument.

1 | ```
InferenceR(listR, G, M, niter, burnin, threshold = 0.5)
``` |

`listR` |
First niter objects of the output of the main function |

`G` |
Number of gene expression probes |

`M` |
Number of aCGH probes |

`niter` |
Number of Monte Carlo Markov Chains iterations |

`burnin` |
Burn-in |

`threshold` |
Threshold on the posterior probability of inclusion |

A list made of the following items

`FreqMat ` |
Matrix of posterior probabilities of inclusion |

`final ` |
Binary association matrix |

Alberto Cassese

Cassese A, Guindani M, Tadesse M, Falciani F, Vannucci M. A hierarchical Bayesian model for inference of copy number variants and their association to gene expression. Annals of Applied Statistics, 8(1), 148-175.

Cassese A, Guindani M, Vannucci M. A Bayesian integrative model for genetical genomics with spatially informed variable selection. Cancer Informatics.

See Also as `Inference`

1 | ```
##See Inference
``` |

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