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.

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

View on CRAN

Files

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

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.