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 |
Please use the canonical form https://CRAN.R-project.org/package=radjust to link to this page.