Nothing
Empirical Bayes methods for learning prior distributions from data. An unknown prior distribution (g) has yielded (unobservable) parameters, each of which produces a data point from a parametric exponential family (f). The goal is to estimate the unknown prior ("gmodeling") by deconvolution and Empirical Bayes methods.
Package details 


Author  Bradley Efron [aut], Balasubramanian Narasimhan [aut, cre] 
Date of publication  20161201 19:44:32 
Maintainer  Balasubramanian Narasimhan <[email protected]> 
License  GPL (>= 2) 
Version  1.03 
URL  http://github.com/bnaras/deconvolveR 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.