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ashr: Methods for Adaptive Shrinkage, using Empirical Bayes

The R package 'ashr' implements an Empirical Bayes approach for large-scale hypothesis testing and false discovery rate (FDR) estimation based on the methods proposed in M. Stephens, 2016, "False discovery rates: a new deal", <doi:10.1093/biostatistics/kxw041>. These methods can be applied whenever two sets of summary statistics—estimated effects and standard errors—are available, just as 'qvalue' can be applied to previously computed p-values. Two main interfaces are provided: ash(), which is more user-friendly; and ash.workhorse(), which has more options and is geared toward advanced users. The ash() and ash.workhorse() also provides a flexible modeling interface that can accommodate a variety of likelihoods (e.g., normal, Poisson) and mixture priors (e.g., uniform, normal).

Version: 2.2-63
Depends: R (≥ 3.1.0)
Imports: Matrix, stats, graphics, Rcpp (≥ 0.10.5), truncnorm, mixsqp, SQUAREM, etrunct, invgamma
LinkingTo: Rcpp
Suggests: testthat, knitr, rmarkdown, ggplot2, REBayes
Published: 2023-08-21
Author: Matthew Stephens [aut], Peter Carbonetto [aut, cre], Chaoxing Dai [ctb], David Gerard [aut], Mengyin Lu [aut], Lei Sun [aut], Jason Willwerscheid [aut], Nan Xiao [aut], Mazon Zeng [ctb]
Maintainer: Peter Carbonetto <pcarbo at uchicago.edu>
BugReports: https://github.com/stephens999/ashr/issues
License: GPL (≥ 3)
URL: https://github.com/stephens999/ashr
NeedsCompilation: yes
Materials: NEWS
In views: Bayesian
CRAN checks: ashr results

Documentation:

Reference manual: ashr.pdf
Vignettes: Illustration of Adaptive Shrinkage

Downloads:

Package source: ashr_2.2-63.tar.gz
Windows binaries: r-devel: ashr_2.2-63.zip, r-release: ashr_2.2-63.zip, r-oldrel: ashr_2.2-63.zip
macOS binaries: r-release (arm64): ashr_2.2-63.tgz, r-oldrel (arm64): ashr_2.2-63.tgz, r-release (x86_64): ashr_2.2-63.tgz, r-oldrel (x86_64): ashr_2.2-63.tgz
Old sources: ashr archive

Reverse dependencies:

Reverse depends: mashr
Reverse imports: cytoKernel, debrowser, DiffBind, dreamlet, ebnm, fastTopics, ldsep, limorhyde2, MixTwice, QTLExperiment
Reverse suggests: BindingSiteFinder, dar, DESeq2, flashier, ncvreg, ribosomeProfilingQC, topconfects
Reverse enhances: palasso

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ashr 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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