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

Documentation:

Reference manual:

ebnm.pdf

Downloads:

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

Reverse dependencies:

Reverse suggests:

mashr

Linking:

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