Package: flashier
Type: Package
Date: 2023-10-16
Title: Empirical Bayes Matrix Factorization
Version: 1.0.7
Authors@R: c(person("Jason", "Willwerscheid", role = c("aut", "cre"),
                    email = "jwillwer@providence.edu"),
             person("Peter", "Carbonetto", role = "aut"),
             person("Wei", "Wang", role = "aut"),
             person("Matthew", "Stephens", role = "aut"),
             person("Eric", "Weine", role = "ctb"),
             person("Gao", "Wang", role = "ctb"))
URL: https://github.com/willwerscheid/flashier
BugReports: https://github.com/willwerscheid/flashier/issues
Description: Methods for matrix factorization based on Wang and Stephens (2021) 
    <https://jmlr.org/papers/v22/20-589.html>.
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
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-10-16 16:37:23 UTC; jwillwer
Author: Jason Willwerscheid [aut, cre],
  Peter Carbonetto [aut],
  Wei Wang [aut],
  Matthew Stephens [aut],
  Eric Weine [ctb],
  Gao Wang [ctb]
Maintainer: Jason Willwerscheid <jwillwer@providence.edu>
Repository: CRAN
Date/Publication: 2023-10-17 09:40:02 UTC
Built: R 4.4.3; ; 2025-12-05 04:55:50 UTC; windows
