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) <doi:10.48550/arXiv.2110.00152>.
Version: 1.1-2 Depends: R (≥ 3.3.0) Imports: stats, ashr, mixsqp, truncnorm, trust, horseshoe, deconvolveR, magrittr, rlang, dplyr, ggplot2 Suggests: testthat, numDeriv, REBayes, knitr, rmarkdown, cowplot Published: 2023-10-12 DOI: 10.32614/CRAN.package.ebnm Author: Jason Willwerscheid [aut], Matthew Stephens [aut], Peter Carbonetto [aut, cre], Andrew Goldstein [ctb], Yusha Liu [ctb] Maintainer: Peter Carbonetto <peter.carbonetto at gmail.com> BugReports: https://github.com/stephenslab/ebnm/issues License: GPL (≥ 3) URL: https://github.com/stephenslab/ebnm NeedsCompilation: no Citation: ebnm citation info Materials: README CRAN checks: ebnm results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=ebnm to link to this page.
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