depcFDR: depcFDR

In chr1swallace/cFDR:

Description

Calculate cFDR given vectors of *dependent* test and conditional Z scores

Usage

depcFDR(Z, Zc, rho, mu = 0, muc, eps = 0.01, p.max = 0.1,
  alpha = seq(0.01, 0.1, by = 0.005), do.optimise = FALSE, ...)

Arguments

Z	vector of Z scores
rho	correlation between Z and Zc under the null hypothesis
alpha	FDR threshold for assessment
...	other arguments passed to cFDR.tune

Value

a named list with three components. alpha is the threshold for rejection, est.cFDR is the estimated FDR at this threshold, cFDR is a vector of conditional FDRs in rectangles defined the corresponding absolute Z and Zc values.

Author(s)

Chris Wallace

chr1swallace/cFDR documentation built on May 13, 2019, 6:18 p.m.