bandsfdp: Compute Upper Prediction Bounds on the FDP in Competition-Based
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)
<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.
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