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flashier: Empirical Bayes Matrix Factorization

Methods for matrix factorization based on Wang and Stephens (2021) <https://jmlr.org/papers/v22/20-589.html>.

Version: 1.0.7
Depends: R (≥ 3.4), ebnm (≥ 0.1-21), magrittr
Imports: Matrix, parallel, dplyr, stringr, tibble, tidyr, softImpute, irlba, ggplot2
Suggests: ashr, cowplot, testthat, knitr, rmarkdown, RcppML, rsvd
Published: 2023-10-17
DOI: 10.32614/CRAN.package.flashier
Author: Jason Willwerscheid [aut, cre], Peter Carbonetto [aut], Wei Wang [aut], Matthew Stephens [aut], Eric Weine [ctb], Gao Wang [ctb]
Maintainer: Jason Willwerscheid <jwillwer at providence.edu>
BugReports: https://github.com/willwerscheid/flashier/issues
License: BSD_3_clause + file LICENSE
URL: https://github.com/willwerscheid/flashier
NeedsCompilation: no
Materials: README
CRAN checks: flashier results

Documentation:

Reference manual: flashier.pdf
Vignettes: Advanced flashier
Introduction to flashier

Downloads:

Package source: flashier_1.0.7.tar.gz
Windows binaries: r-devel: flashier_1.0.7.zip, r-release: flashier_1.0.7.zip, r-oldrel: flashier_1.0.7.zip
macOS binaries: r-release (arm64): flashier_1.0.7.tgz, r-oldrel (arm64): flashier_1.0.7.tgz, r-release (x86_64): flashier_1.0.7.tgz, r-oldrel (x86_64): flashier_1.0.7.tgz

Reverse dependencies:

Reverse suggests: mashr

Linking:

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