Package: sdafilter
Title: Symmetrized Data Aggregation
Version: 1.0.0
Authors@R: 
    c(person(given = "Lilun",
           family = "Du",
           role = c("aut", "cre"),
           email = "dulilun@ust.hk"), 
           person(given = "Xu",
           family = "Guo",
           role = c("ctb")),
           person(given = "Wenguang",
           family = "Sun",
           role = c("ctb")),
           person(given = "Changliang",
           family = "Zou",
           role = c("ctb"))
           )
Author: Lilun Du [aut, cre],
  Xu Guo [ctb],
  Wenguang Sun [ctb],
  Changliang Zou [ctb]
Maintainer: Lilun Du <dulilun@ust.hk>
Description: We develop a new class of distribution free multiple testing rules for false discovery rate (FDR) control under general dependence. A key element in our proposal is a symmetrized data aggregation (SDA) approach to incorporating the dependence structure via sample splitting, data screening and information pooling. The proposed SDA filter first constructs a sequence of ranking statistics that fulfill global symmetry properties, and then chooses a data driven threshold along the ranking to control the FDR. For more information, see the website below and the accompanying paper: Du et al. (2020), "False Discovery Rate Control Under General Dependence By Symmetrized Data Aggregation", <arXiv:2002.11992>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
Imports: glmnet, glasso, huge, POET, stats
Suggests: testthat (>= 2.1.0)
Repository: CRAN
NeedsCompilation: no
Packaged: 2020-03-12 03:55:33 UTC; dulilun
Date/Publication: 2020-03-19 13:30:05 UTC
Built: R 4.3.0; ; 2023-07-10 04:58:24 UTC; unix
