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ebnm: Solve the Empirical Bayes Normal Means Problem

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:

Reference manual: ebnm.pdf
Vignettes: Getting started with the ebnm package

Downloads:

Package source: ebnm_1.1-2.tar.gz
Windows binaries: r-devel: ebnm_1.1-2.zip, r-release: ebnm_1.1-2.zip, r-oldrel: ebnm_1.1-2.zip
macOS binaries: r-release (arm64): ebnm_1.1-2.tgz, r-oldrel (arm64): ebnm_1.1-2.tgz, r-release (x86_64): ebnm_1.1-2.tgz, r-oldrel (x86_64): ebnm_1.1-2.tgz
Old sources: ebnm archive

Reverse dependencies:

Reverse depends: flashier
Reverse suggests: mashr

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ebnm to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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