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 comprehensive introduction to the package is provided by Willwerscheid and Stephens (2021) <arXiv:2110.00152>.

Version: 1.0-9
Depends: R (≥ 3.3.0)
Imports: stats, methods, ashr, mixsqp, truncnorm, trust, horseshoe, deconvolveR, magrittr, rlang, dplyr, ggplot2
Suggests: testthat, numDeriv, REBayes
Published: 2022-03-08
Author: Willwerscheid Jason [aut], Stephens Matthew [aut], Carbonetto Peter [aut, cre], Goldstein Andrew [ctb]
Maintainer: Carbonetto Peter <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


Reference manual: ebnm.pdf


Package source: ebnm_1.0-9.tar.gz
Windows binaries: r-devel: ebnm_1.0-9.zip, r-release: ebnm_1.0-9.zip, r-oldrel: ebnm_1.0-9.zip
macOS binaries: r-release (arm64): ebnm_1.0-9.tgz, r-oldrel (arm64): ebnm_1.0-9.tgz, r-release (x86_64): ebnm_1.0-9.tgz, r-oldrel (x86_64): ebnm_1.0-9.tgz


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