fastLSU: Fast Linear Step Up Procedure of Benjamini–Hochberg FDR Method for Huge-Scale Testing Problems

An efficient algorithm to apply the Benjamini–Hochberg Linear Step Up FDR controlling procedure in huge-scale testing problems (proposed in Vered Madar and Sandra Batista(2016) <DOI:10.1093/bioinformatics/btw029>). Unlike "BH" method, the package does not require any p value ordering. Besides, it permits separating p values arbitrarily into computationally feasible chunks of arbitrary size and produces the same results as those from applying linear step up BH procedure to the entire set of tests.

Install the latest version of this package by entering the following in R:
install.packages("fastLSU")
AuthorXikun Han <hanxikun2014@163.com>, Vered Madar <vered.madar@gmail.com> and Sandra Batista <sbatista@cs.princeton.edu>
Date of publication2016-09-20 09:21:34
MaintainerXikun Han <hanxikun2014@163.com>
LicenseGPL-2
Version0.1.0

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Files

NAMESPACE
R
R/fastLSU.R
MD5
DESCRIPTION
man
man/fastLSU.Rd

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