est.varmixt {anapuce} | R Documentation |

Performs variance mixture analysis

```
est.varmixt(VAR, Kmax, dfreedom)
```

`VAR ` |
vector of estimated variance. |

`Kmax ` |
maximal number of variance components. |

`dfreedom` |
degrees of freedom of the estimated variance. |

a LIST with the following components :

`BIC.crit` |
value of the BIC criterion |

`p.i ` |
the probability of each variance component |

`vars ` |
variances |

`loglike ` |
value of the criterion based on Loglikelihood |

`nmixt ` |
number of variance components |

`tau ` |
the matrix of posterior probability that a gene belongs to each variance component. One row per gene, one column per variance component. |

`VM2 ` |
the variance attributed to each gene according to the MAP rule - Delmar et al. (2005) |

`VM ` |
the variance attributed to each gene taking into account the tau values - Delmar et al. (2005) |

M-L Martin-Magniette and J. Aubert

Delmar P, Robin S, Le Roux D, Daudin J.J (2005), Mixture model on the variance for the differential analysis of gene expression, *JRSS series C*, **54:1**, 31-50.

Delmar P, Robin S, Daudin J.J (2005), VarMixt: efficient variance modelling for the differential analysis of replicated gene expression data, *Bioinformatics*, **21(4)**, 502-8.

`DiffAnalysis`

,`DiffAnalysis.unpaired`

[Package *anapuce* version 2.3 Index]