-
Notifications
You must be signed in to change notification settings - Fork 36
/
DESCRIPTION
56 lines (56 loc) · 1.98 KB
/
DESCRIPTION
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
Package: ashr
Encoding: UTF-8
Type: Package
Maintainer: Peter Carbonetto <[email protected]>
Authors@R: c(person("Matthew","Stephens",role="aut",
email="[email protected]"),
person("Peter","Carbonetto",role=c("aut","cre"),
email="[email protected]"),
person("Chaoxing","Dai",role="ctb"),
person("David","Gerard",role="aut"),
person("Mengyin","Lu",role="aut"),
person("Lei","Sun",role="aut"),
person("Jason","Willwerscheid",role="aut"),
person("Nan","Xiao",role="aut"),
person("Mazon","Zeng",role="ctb"))
Version: 2.2-66
Date: 2024-05-14
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",
<DOI:10.1093/biostatistics/kxw041>. 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 accommodate a variety of likelihoods (e.g.,
normal, Poisson) and mixture priors (e.g., uniform, normal).
Depends:
R (>= 3.1.0)
Imports:
Matrix,
stats,
graphics,
Rcpp (>= 0.10.5),
truncnorm,
mixsqp,
SQUAREM,
etrunct,
invgamma
Suggests:
testthat,
knitr,
rmarkdown,
ggplot2,
REBayes
LinkingTo: Rcpp
License: GPL (>=3)
NeedsCompilation: yes
URL: https://github.com/stephens999/ashr
BugReports: https://github.com/stephens999/ashr/issues
VignetteBuilder: knitr
RoxygenNote: 7.3.1