deconvolveR: Empirical Bayes Estimation Strategies

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 ("g-modeling") by deconvolution and Empirical Bayes methods.

Package details

AuthorBradley Efron [aut], Balasubramanian Narasimhan [aut, cre]
MaintainerBalasubramanian Narasimhan <naras@stat.Stanford.EDU>
LicenseGPL (>= 2)
Version1.1
URL https://bnaras.github.io/deconvolveR
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("deconvolveR")

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deconvolveR documentation built on May 2, 2019, 3:35 p.m.