| Name : R-ashr
| |
| Version : 2.2.63
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp156.1.2
| Date : 2024-07-18 15:03:11
|
| Group : Development/Libraries/Other
| Source RPM : R-ashr-2.2.63-lp156.1.2.src.rpm
|
| Size : 1.87 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : 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).
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
