radjust: Replicability Adjusted p-Values for Two Independent Studies with Multiple Endpoints
Version 0.1.0

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) and Heller, Bogomolov and Benjamini (2014) ; (ii) two independent studies, where the features for replicability are first selected in each study separately, as described in Bogomolov and Heller (2018) . 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.

Getting started

Package details

AuthorShay Yaacoby [aut], Marina Bogomolov [aut], Ruth Heller [aut, cre]
Date of publication2018-08-31 17:50:14 UTC
MaintainerRuth Heller <[email protected]>
LicenseGPL-3
Version0.1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("radjust")

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radjust documentation built on Sept. 1, 2018, 1:06 a.m.