APFr: Multiple Testing Approach using Average Power Function (APF) and Bayes FDR Robust Estimation

Implements a multiple testing approach to the choice of a threshold gamma on the p-values using the Average Power Function (APF) and Bayes False Discovery Rate (FDR) robust estimation. Function apf_fdr() estimates both quantities from either raw data or p-values. Function apf_plot() produces smooth graphs and tables of the relevant results. Details of the methods can be found in Quatto P, Margaritella N, et al. (2019) <doi:10.1177/0962280219844288>.

Version: 1.0.2
Depends: R (≥ 3.5.0)
Imports: stats (≥ 3.5.2), graphics (≥ 3.5.2)
Published: 2019-06-18
DOI: 10.32614/CRAN.package.APFr
Author: Nicolò Margaritella [cre, aut], Piero Quatto [aut]
Maintainer: Nicolò Margaritella <N.Margaritella at sms.ed.ac.uk>
License: GPL-3
NeedsCompilation: no
In views: Bayesian
CRAN checks: APFr results


Reference manual: APFr.pdf


Package source: APFr_1.0.2.tar.gz
Windows binaries: r-devel: APFr_1.0.2.zip, r-release: APFr_1.0.2.zip, r-oldrel: APFr_1.0.2.zip
macOS binaries: r-release (arm64): APFr_1.0.2.tgz, r-oldrel (arm64): APFr_1.0.2.tgz, r-release (x86_64): APFr_1.0.2.tgz, r-oldrel (x86_64): APFr_1.0.2.tgz


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