R: Mixing weight from posterior median threshold

wfromt {EbayesThresh} | R Documentation

## Mixing weight from posterior median threshold

### Description

Given a value or vector of thresholds and sampling standard deviations (sd equals 1 for Cauchy prior), find the mixing weight for which this is(these are) the threshold(s) of the posterior median estimator. If a vector of threshold values is provided, the vector of corresponding weights is returned.

### Usage

    wfromt(tt, s = 1, prior = "laplace", a = 0.5)

### Arguments

`tt` | Threshold value or vector of values.
`s` | A single value or a vector of standard deviations if the Laplace prior is used. If a vector, must have the same length as `tt`. Ignored if Cauchy prior is used.
`prior` | Specification of prior to be used; can be `"cauchy"` or `"laplace"`.
`a` | Scale factor if Laplace prior is used. Ignored if Cauchy prior is used.

### Value

The numerical value or vector of values of the corresponding weight is returned.

### Author(s)

Bernard Silverman

### References

See `ebayesthresh` and http://www.bernardsilverman.com

### See Also

`tfromw`

### Examples

    wfromt(c(2,3,5), prior = "cauchy" )

[Package EbayesThresh version 1.4-12 Index]