bnaras/deconvolveR: Empirical Bayes Estimation Strategies
Version 1.1

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.

Getting started

Package details

Maintainer
LicenseGPL (>= 2)
Version1.1
URL http://github.com/bnaras/deconvolveR
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("bnaras/deconvolveR")
bnaras/deconvolveR documentation built on Oct. 19, 2017, 5:47 a.m.