This function returns the modal latent states.

1 | ```
InferenceXi(listXi, niter, burnin)
``` |

`listXi` |
Last three objects of the output of the main function |

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

`burnin` |
Burn-in |

Must use the same burn-in as in the main function.

Matrix of modal latent states, i.e. estimated Copy Number Variants. A four class classification is considered:

Loss

Neutral

Gain

Amplification

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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