truncDeconv: Computes Empirical Bayes Estimates via Deconvolution for...
In ammeir2/selectiveTweedy:

This function has a similar functionality as deconv, excpet that it is meant to handle the case in which only the selected are observed.

1 2	truncDeconv(x, threshold, meanValues = NULL, twoSided = TRUE, splineDegree = 10, binWidth = 0.1, nBins = 100)

`x`	the observed (truncated) sample of z-scores
`threshold`	the threshold used to screen the observations
`meanValues`	a grid of discrete mean parameter values
`twoSided`	whether the selection was one-sided or two-sided. if TRUE, then a selection rule of abs(x) > abs(threshold) is assumed. Otherwise, a selection rule of x > threshold is assumed.
`splineDegree`	the number of degrees for the spline fit in the deconvolution
`binWidth`	the function discretizes the sample into bins, this is the bin width. Take precedence over nBins.
`nBins`	number of bins to use in discretization