Bundle: empiricalBayes
Contains: HighProbability localFDR
Version: 2.1
Date:	2008-03-05
Author: Zahra Montazeri ,  David R. Bickel
Maintainer: David. R. Bickel <DavidBickel.66846716@bloglines.com>
BundleDescription: EmpiricalBayes provides a simple solution to the extreme 		   multiple testing problem by estimating local false
discovery rates. It contains two packages, 				   localFDR and HighProbability. Given a vector of
p-values, localFDR estimates local false discovery rates 		   and HighProbability determines which p-values are low 		   enough that their alternative hypotheses can be 			   considered highly probable .
License: Mozilla Public License 1.1
Packaged: Mon Jul  7 20:04:12 2008; hornik

Title: Simulation-Based False Discovery Rate in RNA-Seq
Description: Auxiliary functions for the DESeq2 package to simulate read counts according to the null hypothesis (i.e., with empirical sample size factors, per-gene total counts and dispersions, but without effects of predictor variables) and to compute the empirical false discovery rate.

Title: Simulation-based False Discovery Rate in RNA-seq

Author: Mai Zhou, Art Owen (for el.test())
Description: empirical likelihood ratio for means/quantiles/hazards
Title: empirical likelihood ratio for right censored data

Description: empirical likelihood ratio tests for means/quantiles/hazards
from possibly censored and/or truncated data
Title: empirical likelihood ratio for censored/truncated data

Author: Mai Zhou. (Art Owen for el.test())
from possibly censored and/or truncated data. Now does regression too.
Title: Empirical likelihood ratio for censored/truncated data

Description: empirical likelihood ratio tests for
means/quantiles/hazards from possibly censored and/or truncated

Author: Mai Zhou.(Art Owen for el.test(), Yifan Yang for C part)

Author: Mai Zhou. (Art Owen for el.test(). Yifan Yang for C code.)
Description: Empirical likelihood ratio tests for means/quantiles/hazards
Title: Empirical Likelihood Ratio for Censored/Truncated Data

Author: Mai Zhou. (Art Owen for el.test(). Yifan Yang for some C code.)