vm.analysis.step.2 {varmixt} | R Documentation

## Mixture model analysis

### Description

This function performs the last stage of mixture model analysis

### Usage

    vm.analysis.step.2(data, n.mixt = NULL, filename = NULL,crit=c("AIC","BIC")[2],stop.crit.1=1.e-6,
                                 criterion.1=c("likelihood","parameter")[1],criterion.2=c("likelihood","parameter")[1],
                                 stop.crit.2=1.e-8,display=TRUE)

### Arguments

`data` | a gene expression data object
`n.mixt` | number of components in the model
`filename` | optional output filename
`criterion.1` | either "likelihood" or "parameter". The criterion for stopping EM algorithm while trying to determine the number of variance groups
`stop.crit.1` | The stopping relative precision limit for stopping EM algorithm
`criterion.2` | Either "likelihood" or "parameter". The criterion for stopping EM algorithm while trying to estimate the parameters.
`stop.crit.2` | The stopping relative precision limit for stopping EM algorithm
`display` | Boolean. Should the result of model fitting be displayed on the screen on the fly ?

### Details

### Value

### Note

### Author(s)

Paul Delmar and Julie Aubert

### References

### See Also

`vm.analysis`,`vm.analysis.paired`

### Examples

[Package varmixt version 0.2-4 Index]