DESCRIPTION

Package: mashr
Type: Package
Encoding: UTF-8
Title: Multivariate Adaptive Shrinkage 
Version: 0.2.81
Date: 2024-11-06
Authors@R: c(person("Matthew","Stephens",role="aut"),
             person("Sarah","Urbut",role="aut"),
             person("Gao","Wang",role="aut"),
             person("Yuxin","Zou",role="aut"),
             person("Yunqi","Yang",role="ctb"),
	     person("Sam","Roweis",role="cph"),
	     person("David","Hogg",role="cph"),
	     person("Jo","Bovy",role="cph"),
             person("Peter","Carbonetto",role=c("aut","cre"),
                    email="peter.carbonetto@gmail.com"))
Description: Implements the multivariate adaptive shrinkage (mash)
    method of Urbut et al (2019) <DOI:10.1038/s41588-018-0268-8> for
    estimating and testing large numbers of effects in many conditions
    (or many outcomes). Mash takes an empirical Bayes approach to
    testing and effect estimation; it estimates patterns of similarity
    among conditions, then exploits these patterns to improve accuracy
    of the effect estimates. The core linear algebra is implemented in
    C++ for fast model fitting and posterior computation.
URL: https://github.com/stephenslab/mashr
BugReports: https://github.com/stephenslab/mashr/issues
License: BSD_3_clause + file LICENSE
Copyright: file COPYRIGHTS
Depends: R (>= 3.3.0),
    ashr (>= 2.2-22)
Imports:
    assertthat,
    utils,
    stats,
    plyr,
    rmeta,
    Rcpp (>= 1.0.8),
    mvtnorm,
    abind,
    softImpute
LinkingTo:
    Rcpp, 
    RcppArmadillo,
    RcppGSL (>= 0.3.8)
Suggests:
    MASS,
    Matrix,
    REBayes,
    corrplot (>= 0.90),
    testthat,
    kableExtra,
    knitr,
    rmarkdown,
    profmem,
    flashier,
    ebnm
VignetteBuilder: knitr
NeedsCompilation: yes
Biarch: true
Remotes:
    stephens999/ashr,
    stephenslab/ebnm,
    willwerscheid/flashier
RoxygenNote: 7.3.1