From 07c668f456340c88caae494257c4c23710458148 Mon Sep 17 00:00:00 2001 From: Peter Carbonetto Date: Wed, 15 Mar 2017 15:33:54 -0500 Subject: [PATCH] Bumped up version. --- DESCRIPTION | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/DESCRIPTION b/DESCRIPTION index 8333bec..5de1e49 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,7 +1,7 @@ Package: ashr Maintainer: Matthew Stephens Author: Matthew Stephens, Chaoxing Dai, Mengyin Lu, David Gerard, Nan Xiao, Peter Carbonetto -Version: 2.1.5 +Version: 2.1-6 Date: 2017-01-19 Title: Methods for Adaptive Shrinkage, using Empirical Bayes Description: The R package 'ashr' implements an Empirical Bayes approach for large-scale hypothesis testing and false discovery rate (FDR) estimation based on the methods proposed in M. Stephens, 2016, "False discovery rates: a new deal", . These methods can be applied whenever two sets of summary statistics---estimated effects and standard errors---are available, just as 'qvalue' can be applied to previously computed p-values. Two main interfaces are provided: ash(), which is more user-friendly; and ash.workhorse(), which has more options and is geared toward advanced users. The ash() and ash.workhorse() also provides a flexible modeling interface that can accomodate a variety of likelihoods (e.g., normal, Poisson) and mixture priors (e.g., uniform, normal).