Package: ebnm
Encoding: UTF-8
Type: Package
Version: 1.1-2
Date: 2023-10-12
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(). A detailed introduction to the package is provided
    by Willwerscheid and Stephens (2021) <arXiv:2110.00152>.
License: GPL (>= 3)
NeedsCompilation: no
Depends: R (>= 3.3.0)
Imports: stats, ashr, mixsqp, truncnorm, trust, horseshoe, deconvolveR,
        magrittr, rlang, dplyr, ggplot2
Suggests: testthat, numDeriv, REBayes, knitr, rmarkdown, cowplot
RoxygenNote: 7.2.3
VignetteBuilder: knitr
LazyData: true
Packaged: 2023-10-12 17:28:03 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: 2023-10-12 21:10:02 UTC
Built: R 4.2.0; ; 2023-10-12 22:08:53 UTC; unix
