radjust: Replicability Adjusted p-Values for Two Independent Studies with Multiple Endpoints

Calculates adjusted p-values for the null hypothesis of no replicability across studies for two study designs: (i) a primary and follow-up study, where the features in the follow-up study are selected from the primary study, as described in Bogomolov and Heller (2013) <doi:10.1080/01621459.2013.829002> and Heller, Bogomolov and Benjamini (2014) <doi:10.1073/pnas.1314814111>; (ii) two independent studies, where the features for replicability are first selected in each study separately, as described in Bogomolov and Heller (2018) <doi:10.1093/biomet/asy029>. The latter design is the one encountered in a typical meta-analysis of two studies, but the inference is for replicability rather than for identifying the features that are non-null in at least one study.

Version: 0.1.0
Depends: R (≥ 2.10)
Suggests: covr, testthat
Published: 2018-08-31
Author: Shay Yaacoby [aut], Marina Bogomolov [aut], Ruth Heller [aut, cre]
Maintainer: Ruth Heller <ruheller at gmail.com>
License: GPL-3
NeedsCompilation: no
Citation: radjust citation info
Materials: README
CRAN checks: radjust results


Reference manual: radjust.pdf
Package source: radjust_0.1.0.tar.gz
Windows binaries: r-devel: radjust_0.1.0.zip, r-devel-gcc8: radjust_0.1.0.zip, r-release: radjust_0.1.0.zip, r-oldrel: radjust_0.1.0.zip
OS X binaries: r-release: radjust_0.1.0.tgz, r-oldrel: radjust_0.1.0.tgz


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