R: Estimating Local False Discovery Rates Using Empirical Bayes Methods

# Estimating Local False Discovery Rates Using Empirical Bayes Methods

## Documentation for package ‘LFDREmpiricalBayes’ version 1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

LFDREmpiricalBayes-package | Estimating Local False Discovery Rates Using Empirical Bayes Methods
caution.parameter.actions | Based on a Decision-Theoretic Approach, Performs a Multiple Hypothesis Testing Problem under a Zero-One Loss Function
LFDREmpiricalBayes | Estimating Local False Discovery Rates Using Empirical Bayes Methods
ME.log | Provides Reliable LFDR Estimates by Selecting an Appropriate Reference Class
PRGM.action | Based on the Robust Bayes Approach, Performs a Multiple Hyothesis Testing Problem under an Squared Error Loss Function
SEL.caution.parameter | Based on a Decision-Theoretic Approach, Performs a Multiple Hyothesis Testing Problem under an Squared Error Loss Function