Performs variance mixture analysis
est.varmixt(VAR, Kmax, dfreedom)vector of estimated variance.
maximal number of variance components.
degrees of freedom of the estimated variance.
a LIST with the following components :
value of the BIC criterion
the probability of each variance component
variances
value of the criterion based on Loglikelihood
number of variance components
the matrix of posterior probability that a gene belongs to each variance component. One row per gene, one column per variance component.
the variance attributed to each gene according to the MAP rule - Delmar et al. (2005) JRSS
the variance attributed to each gene taking into account the tau values - Delmar et al. (2005) Bioinformatics
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.