CRAN/E | ebnm

ebnm

Solve the Empirical Bayes Normal Means Problem

Installation

About

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) .

Citation ebnm citation info
github.com/stephenslab/ebnm
Bug report File report

Key Metrics

Version 1.1-2
R ≥ 3.3.0
Published 2023-10-12 197 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks ebnm results

Downloads

Yesterday 6 -40%
Last 7 days 58 -11%
Last 30 days 253 +7%
Last 90 days 698 -29%
Last 365 days 2.938 +19%

Maintainer

Maintainer

Peter Carbonetto

peter.carbonetto@gmail.com

Authors

Jason Willwerscheid

aut

Matthew Stephens

aut

Peter Carbonetto

aut / cre

Andrew Goldstein

ctb

Yusha Liu

ctb

Material

README
Reference manual
Package source

Vignettes

Getting started with the ebnm package

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

ebnm archive

Depends

R ≥ 3.3.0

Imports

stats
ashr
mixsqp
truncnorm
trust
horseshoe
deconvolveR
magrittr
rlang
dplyr
ggplot2

Suggests

testthat
numDeriv
REBayes
knitr
rmarkdown
cowplot

Reverse Suggests

mashr