compute.BIC {varmixt} | R Documentation

## Computation of the parameters of the mixture with deterministic initial parameters

### Description

This function computes parameters of the mixture with deterministic initial parameters

### Usage

    compute.BIC(VAR,df,nmixt,stop.crit=1.e-08,display=TRUE,criterion=c("likelihood","parameter")[2],
                          PPOST=FALSE,VAR.OUT=FALSE)

### Arguments

`VAR` | Vector of estimated variance
`df` | degrees of freedom of the estimated variance
`nmixt` | Integer : number of components
`stop.crit` | Real : convergence criteria for the EM algo
`display` | Boolean : Should the program write its results on the console ?
`criterion` | Criterion for the convergence of EM algo. Either "likelihood" : for criterion based on loglikelihood or "parameter"
`PPOST` | Boolean : Should the programm export the matrix of posterior probability of each gene?
`VAR.OUT` | Boolean : Should the program export the vector of variance and the vector of corresponding components?

### Details

### Value

### Note

### Author(s)

Paul Delmar and Julie Aubert

### References

### See Also

### Examples

[Package varmixt version 0.2-4 Index]