Package: deconvolveR
Title: Empirical Bayes Estimation Strategies
Version: 1.2-2
VignetteBuilder: knitr
Suggests: cowplot, ggplot2, knitr, rmarkdown
Authors@R: c(person("Bradley", "Efron", role=c("aut"),
	   	    email = "brad@stat.stanford.edu"),
  	     person("Balasubramanian", "Narasimhan", role=c("aut", "cre"),
	   	    email = "naras@stat.Stanford.EDU"))
Description: 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. Details and examples are in the paper
        by Narasimhan and Efron (2020, <doi:10.18637/jss.v094.i11>).
URL: https://bnaras.github.io/deconvolveR/
BugReports: https://github.com/bnaras/deconvolveR/issues
Encoding: UTF-8
Depends: R (>= 3.0)
License: GPL (>= 2)
LazyData: true
Imports: splines, stats
Config/roxygen2/version: 8.0.0
Repository: https://bnaras.r-universe.dev
Date/Publication: 2026-08-05 00:39:19 UTC
RemoteUrl: https://github.com/bnaras/deconvolveR
RemoteRef: HEAD
RemoteSha: 059764c5e9bfe5cda54da9b825e2dde2cbd0305b
NeedsCompilation: no
Packaged: 2026-10-16 21:48:56 UTC; root
Author: Bradley Efron [aut],
  Balasubramanian Narasimhan [aut, cre]
Maintainer: Balasubramanian Narasimhan <naras@stat.Stanford.EDU>