Package: sdafilter Title: Symmetrized Data Aggregation Version: 1.0.1 Authors@R: c(person(given = "Lilun", family = "Du", role = c("aut", "cre"), email = "lilundu@cityu.edu.hk"), person(given = "Xu", family = "Guo", role = c("aut")), person(given = "Wenguang", family = "Sun", role = c("aut")), person(given = "Changliang", family = "Zou", role = c("aut")) ) Author: Lilun Du [aut, cre], Xu Guo [aut], Wenguang Sun [aut], Changliang Zou [aut] Maintainer: Lilun Du 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. (2023), "False Discovery Rate Control Under General Dependence By Symmetrized Data Aggregation", . Some optional functionality uses the archived R packages ‘huge’ and ‘pfa’, which are not available from CRAN’s main repositories. Users who need this optional functionality can obtain them from the CRAN Archive as follows: ‘huge’ at ; ‘pfa’ at . License: GPL (>= 2) Encoding: UTF-8 RoxygenNote: 7.3.3 Imports: glmnet, glasso, POET, stats, selectiveInference, Suggests: testthat (>= 2.1.0), huge, pfa, MASS NeedsCompilation: no Packaged: 2026-07-13 07:14:04 UTC; root Repository: https://cran.r-universe.dev Date/Publication: 2026-02-13 17:11:33 UTC RemoteUrl: https://github.com/cran/sdafilter RemoteRef: HEAD RemoteSha: eb85c5c754e67e6eb5c58b5a9e3e067dfef90d95