PRGM.action {LFDREmpiricalBayes} | R Documentation |
Based on the Robust Bayes Approach, Performs a Multiple Hyothesis Testing Problem under an Squared Error Loss Function
Description
Assuming a squared error loss function, it provides Robust Bayes estimates of the LFDR estimates giving credit to both separate and combined reference classes.
Usage
PRGM.action(x1,x2)
Arguments
x1 |
Input numeric vector of LFDR estimates of the separate reference class. |
x2 |
Input numeric vector of LFDR estimated of the combined reference class. |
Value
The output is a vector of the LFDR estimates based on the two reference classes.
Author(s)
Code: Ali Karimnezhad.
Documentation: Johnary Kim and Anna Akpawu.
References
Karimnezhad, A. and Bickel, D. R. (2016). Incorporating prior knowledge about genetic variants into the analysis of genetic association data: An empirical Bayes approach. Working paper. Retrieved from http://hdl.handle.net/10393/34889
Examples
#LFDR reference class values generated
#First reference class
LFDR.Separate <- c(0.14, 0.8, 0.16, 0.30)
#Second reference class
LFDR.Combined <- c(0.21, 0.61, 0.12, 0.10)
output <- PRGM.action(LFDR.Separate, LFDR.Combined)
# Vector of the LFDR estimates
output
[Package LFDREmpiricalBayes version 1.0 Index]