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repfdr: Replicability Analysis for Multiple Studies of High Dimension

Estimation of Bayes and local Bayes false discovery rates for replicability analysis (Heller & Yekutieli, 2014 <doi:10.1214/13-AOAS697> ; Heller at al., 2015 <doi:10.1093/bioinformatics/btu434>).

Version: 1.2.3
Depends: R (≥ 2.10)
Imports: splines, Rcpp (≥ 0.12.6)
LinkingTo: Rcpp
Suggests: R.rsp
Published: 2017-09-28
DOI: 10.32614/CRAN.package.repfdr
Author: Ruth Heller [cre, aut], Shachar Kaufman [aut], Shay Yaacoby [aut], David Israeli [aut], Barak Brill [aut], Daniel Yekutieli [aut], Stephen Turner [cph]
Maintainer: Ruth Heller <ruheller at gmail.com>
BugReports: https://github.com/barakbri/repfdr/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/barakbri/repfdr
NeedsCompilation: yes
Materials: README
CRAN checks: repfdr results

Documentation:

Reference manual: repfdr.pdf
Vignettes: repfdr: Package for Replicability Analysis for Multiple Studies of High Dimension

Downloads:

Package source: repfdr_1.2.3.tar.gz
Windows binaries: r-devel: repfdr_1.2.3.zip, r-release: repfdr_1.2.3.zip, r-oldrel: repfdr_1.2.3.zip
macOS binaries: r-release (arm64): repfdr_1.2.3.tgz, r-oldrel (arm64): repfdr_1.2.3.tgz, r-release (x86_64): repfdr_1.2.3.tgz, r-oldrel (x86_64): repfdr_1.2.3.tgz
Old sources: repfdr archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.