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DESCRIPTION
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DESCRIPTION
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Package: mashr
Type: Package
Encoding: UTF-8
Title: Multivariate Adaptive Shrinkage
Version: 0.2.71
Date: 2023-06-20
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
SystemRequirements: C++11
Depends: R (>= 3.3.0),
ashr (>= 2.2-22)
Imports:
assertthat,
utils,
stats,
plyr,
rmeta,
Rcpp (>= 0.12.11),
mvtnorm,
abind,
softImpute
LinkingTo:
Rcpp,
RcppArmadillo,
RcppGSL (>= 0.3.8)
Suggests:
MASS,
REBayes,
corrplot (>= 0.90),
testthat,
kableExtra,
knitr,
rmarkdown,
profmem,
flashier,
ebnm
Additional_repositories: https://stephenslab.github.io/flashier-drat
VignetteBuilder: knitr
NeedsCompilation: yes
Biarch: true
Remotes:
stephens999/ashr,
stephenslab/ebnm,
willwerscheid/flashier
RoxygenNote: 7.1.2