Aggregation of P-value Ranks using a Beta Distribution and Alpha Cutoff

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Description

This function calculates an alpha-modified rho statistic from a set of normalized ranks by comparing them to a uniform distribution. Specifically, the ranks are ordered and p-values calculated at each position in the ordered vector by comparison to a Beta distribution. The rho value returned is the smallest p-value identified in this way across all scores. Should not be used by end users.

Usage

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Arguments

p.in

A single column matrix of rank scores, with row.names indicating the gRNA labels.

Value

A numeric rho value corresponding to the minimum rank order P.

Author(s)

Russell Bainer, modified from code from the RobustRankAggreg package.

Citation: Kolde, R. et al, Bioinformatics. 2012 Feb 15;28(4):573-80. doi: 10.1093/bioinformatics/btr709.

Examples

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library(RobustRankAggreg)
testp <- runif(20)

betaScores((testp))
ct.alphaBeta(testp)  

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