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
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


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


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


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