# wfromt: Mixing weight from posterior median threshold In EbayesThresh: Empirical Bayes Thresholding and Related Methods

## 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

 `1` ```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

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