| Name : R-bandsfdp
| |
| Version : 1.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.5
| Date : 2024-06-14 11:04:58
|
| Group : Development/Libraries/Other
| Source RPM : R-bandsfdp-1.1.0-lp153.1.5.src.rpm
|
| Size : 0.07 MB
| |
| Packager : (none)
| |
| Summary : Compute Upper Prediction Bounds on the FDP in Competition-Based Setups
|
Description :
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.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
