Package: ebnm
Encoding: UTF-8
Type: Package
Version: 1.1-42
Date: 2025-10-08
Title: Solve the Empirical Bayes Normal Means Problem
Authors@R: c(person("Jason", "Willwerscheid", role = "aut"),
             person("Matthew", "Stephens", role = "aut"),
             person("Peter", "Carbonetto", role = c("aut", "cre"),
                    email = "peter.carbonetto@gmail.com"),
             person("Andrew", "Goldstein", role = "ctb"),
             person("Yusha", "Liu", role = "ctb"))
URL: https://github.com/stephenslab/ebnm
BugReports: https://github.com/stephenslab/ebnm/issues
Description: Provides simple, fast, and stable functions to fit the normal
    means model using empirical Bayes. For available models and details, see 
    function ebnm(). Our JSS article, 
    Willwerscheid, Carbonetto, and Stephens (2025) <doi:10.18637/jss.v114.i03>,
    provides a detailed introduction to the package.
License: GPL (>= 3)
NeedsCompilation: no
Depends: R (>= 3.3.0)
Imports: stats, ashr, mixsqp, truncnorm, trust, deconvolveR, magrittr,
        rlang, dplyr, ggplot2
Suggests: testthat, REBayes, horseshoe, knitr, rmarkdown, cowplot,
        mcmc, numDeriv
RoxygenNote: 7.3.2
VignetteBuilder: knitr
LazyData: true
Packaged: 2025-10-09 17:50:19 UTC; pcarbo
Author: Jason Willwerscheid [aut],
  Matthew Stephens [aut],
  Peter Carbonetto [aut, cre],
  Andrew Goldstein [ctb],
  Yusha Liu [ctb]
Maintainer: Peter Carbonetto <peter.carbonetto@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-10 05:30:25 UTC
Built: R 4.6.0; ; 2026-04-29 02:07:42 UTC; unix
