tmixture {limma} | R Documentation

## Estimate Scale Factor in Mixture of t-Distributions

### Description

This function estimates the unscaled standard deviation of the log fold change for differentially expressed genes. It is called by the function `ebayes` and is not intended to be called by users.

### Usage

    tmixture.vector(tstat,stdev.unscaled,df,proportion,c0lim=NULL)
    tmixture.matrix(tstat,stdev.unscaled,df,proportion,c0lim=NULL)

### Arguments

`tstat` | numeric vector or matrix of t-statistics
`stdev.unscaled` | numeric matrix conformal with `tstatf` containing the unscaled standard deviations for the coefficient estimators
`df` | numeric vector giving the degrees of freedom associated with `tstat`
`proportion` | assumed proportion of genes which are differentially expressed
`c0lim` | optional upper limit for the estimated unscaled standard deviation

### Value

Numeric vector of length equal to the number of columns of `tstat` and `stdev.unscaled`.

### Author(s)

Gordon Smyth

### See Also

`ebayes`

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