optim.arbidept.adjp: Objective function to be optimized (4)

In FixSeqMTP: Fixed Sequence Multiple Testing Procedures

Description

Objective function to be optimized for the adjusted p-values for FDR controlling g-FSMTP under arbitrary dependence. (See Theorem 3.1 and Theorem 4.1 in Lynch et al. (2016))

Usage

optim.arbidept.adjp(alpha, p, k)

Arguments

alpha	the parameter we need to solve for the adjusted p-values.
p	numeric vector of p-values (possibly with NAs). Any other R is coerced by as.numeric. Same as in p.adjust.
k	pre-specified number of acceptances allowed in the testing procedure (cannot exceed the length of p)

Value

difference between adjusted p-value and significant level alpha.

Author(s)

Yalin Zhu

References

Lynch, G., Guo, W., Sarkar, S. K., & Finner, H. (2016). The Control of the False Discovery Rate in Fixed Sequence Multiple Testing. arXiv preprint arXiv:1611.03146.

FixSeqMTP documentation built on May 1, 2019, 10:53 p.m.