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sdafilter  

Symmetrized Data Aggregation
View on CRAN: Click here


Download and install sdafilter package within the R console
Install from CRAN:
install.packages("sdafilter")

Install from Github:
library("remotes")
install_github("cran/sdafilter")

Install by package version:
library("remotes")
install_version("sdafilter", "1.0.0")



Attach the package and use:
library("sdafilter")
Maintained by
Lilun Du
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-19
Latest Update: 2020-03-19
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", .
How to cite:
Lilun Du (2020). sdafilter: Symmetrized Data Aggregation. R package version 1.0.0, https://cran.r-project.org/web/packages/sdafilter. Accessed 22 Dec. 2024.
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Complete documentation for sdafilter
Functions, R codes and Examples using the sdafilter R package
Some associated functions: SDA_M . 
Some associated R codes: core.R .  Full sdafilter package functions and examples
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