The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

bandsfdp: Compute Upper Prediction Bounds on the FDP in Competition-Based Setups

Implements functions that calculate upper prediction bounds on the false discovery proportion (FDP) in the list of discoveries returned by competition-based setups, implementing Ebadi et al. (2022) <doi:10.48550/arXiv.2302.11837>. Such setups include target-decoy competition (TDC) in computational mass spectrometry and the knockoff construction in linear regression (note this package typically uses the terminology of TDC). Included is the standardized (TDC-SB) and uniform (TDC-UB) bound on TDC's FDP, and the simultaneous standardized and uniform bands. Requires pre-computed Monte Carlo statistics available at <https://github.com/uni-Arya/fdpbandsdata>. This data can be downloaded by running the command 'devtools::install_github("uni-Arya/fdpbandsdata")' in R and restarting R after installation. The size of this data is roughly 81Mb.

Version: 1.1.0
Suggests: fdpbandsdata
Published: 2023-05-12
DOI: 10.32614/CRAN.package.bandsfdp
Author: Arya Ebadi [aut, cre], Dong Luo [aut], Jack Freestone [aut], William Stafford Noble [aut], Uri Keich ORCID iD [aut]
Maintainer: Arya Ebadi <aeba3842 at uni.sydney.edu.au>
BugReports: https://github.com/uni-Arya/bandsfdp/issues
License: MIT + file LICENSE
URL: https://github.com/uni-Arya/bandsfdp
NeedsCompilation: no
Materials: README NEWS
CRAN checks: bandsfdp results

Documentation:

Reference manual: bandsfdp.pdf

Downloads:

Package source: bandsfdp_1.1.0.tar.gz
Windows binaries: r-devel: bandsfdp_1.1.0.zip, r-release: bandsfdp_1.1.0.zip, r-oldrel: bandsfdp_1.1.0.zip
macOS binaries: r-release (arm64): bandsfdp_1.1.0.tgz, r-oldrel (arm64): bandsfdp_1.1.0.tgz, r-release (x86_64): bandsfdp_1.1.0.tgz, r-oldrel (x86_64): bandsfdp_1.1.0.tgz
Old sources: bandsfdp archive

Linking:

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

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.