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ebnm

1.1-42Package record

Solve the Empirical Bayes Normal Means Problem

2packages dependsuggested by 1
7.8Kdownloads / year
70.7%test coverage
13/13flavors OK

Overview

About

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) doi:10.18637/jss.v114.i03, provides a detailed introduction to the package.

Install

Health

CRAN checks
13OK
Slowest check: 4.8 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.1-42
READMEYes · 467 wordsVignettesYes · 3 · dynamicNEWSNoCitation fileYes · cites a publication
Cites a JSS article
Help pages
41
Examples that run
100%5 run in a plain check
Exported functions with examples
12%
Documented parameters
99%
Return-value docs
88%
Help pages citing references
12%

Downloads

7.8K
CRAN downloads in the past year
Rank #5,935 · ~21/day · ~647/mo
Daily download trend is not available in this view yet.
54630 days
1.4K90 days
7.8K1 year
Compare downloads with other packages →
Also on110 r2u7 autocran

Repository

14Stars
12Forks
17Open issues
0Open PRs
3Releases
792Commits
5Commit identities
792 commits · Last activity 2025-10-08 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
97%
Median days to close, 50 most recently updated closed issues
16
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2024-07-09 · 122026-08-05 · 14
PracticesBeta

7 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/stephenslab/ebnm on 2026-10-18.

Continuous integration (3)
Travis CI (config file)AppVeyorCircleCI
Docs source (2)
pkgdown

GitHub Pages site last deployed 2025-10-09

Reproducibility and dev environment (1)
data-raw/
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
17 external dependencies (excludes base and recommended)

Installing ebnm adds 36 packages (18 with compiled code, 25 MB of source tarballs). Heaviest: ggplot2 6.0 MB, invgamma 2.5 MB, Rcpp 1.8 MB.

Depends (1)
R >= 3.3.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
2direct
0indirect
Depends 1 · Imports 1
Suggested by 1
Depends, Imports or LinkingTo, most downloaded first
Suggests, most downloaded first

Datasets

People & History

People (5)
Author, Maintainer · added in 1.1-2
Author · added in 1.1-2
Author · added in 1.1-2
Contributor · added in 1.1-2
Contributor · added in 1.1-2

Maintainer since 1.0-9 (2022)

Releases (4)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.1-42Latest
    record
    2025-10-10 · current release · diff ↗
  • 1.1-38
    record
    2025-09-05 · diff ↗ ·
    added 1 export
    ebnm_check_fn
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.1-2
    record
    2023-10-12 · diff ↗ ·
    removed 2 exports
    output_all, output_default
    added 10 exports
    ebnm_add_sampler, ebnm_flat, ebnm_generalized_binary, ebnm_group, ebnm_output_all, ebnm_output_default, ebnm_point_mass, ebnm_scale_normalmix, ebnm_scale_npmle, ebnm_scale_unimix
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 1.0-9
    record
    2022-03-08
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2022-03-08
Total releases
4 / 4 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.3.0
Bundled data
11 KB / 1 file
Download size
585 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("ebnm")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.18637/jss.v114.i03.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ebnm version 1.1-42 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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