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) , 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 Repository: https://stephenslab.r-universe.dev Date/Publication: 2025-10-08 17:48:55 UTC RemoteUrl: https://github.com/stephenslab/ebnm RemoteRef: HEAD RemoteSha: 825edf1e308af9f3e594a5482300b9fb99793129 Packaged: 2026-06-06 07:48:42 UTC; root Author: Jason Willwerscheid [aut], Matthew Stephens [aut], Peter Carbonetto [aut, cre], Andrew Goldstein [ctb], Yusha Liu [ctb] Maintainer: Peter Carbonetto