compute.BIC.init {varmixt} | R Documentation

## Computation of parameters of the mixture model given initial parameters

### Description

This function computes parameters of the mixture model given initial parameters

### Usage

    compute.BIC.init(VAR,df,sd.init,pi.init,nmixt,stop.crit=stop.crit.2,display=TRUE,PPOST=FALSE,
                               niter.max=50000,VAR.OUT=FALSE,criterion=criterion)

### Arguments

`VAR` | Vector of estimated variance
`df` | degrees of freedom of the estimated variance
`sd.init` | vector of initial standard deviation for the mixture
`pi.init` | vector of initial prior probability for the mixture
`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 ?
`PPOST` | Boolean : Should the programm export the matrix of posterior probability of each gene ?
`niter.max` | Integer : maximum number of iteration of the EM algorithm
`VAR.OUT` | Boolean : Should the program export the vector of variance and the vector of corresponding components ?
`criterion` | Criterion for the convergence of EM algo. Either "likelihood" for criterion based on loglikelihood or "parameter"

### Details

### Value

### Note

### Author(s)

Paul Delmar

### References

### See Also

### Examples

[Package varmixt version 0.2-4 Index]