FamilyRank: Algorithm for Ranking Predictors Using Graphical Domain Knowledge

Grows families of features by selecting features that maximize a weighted score calculated from empirical feature scores and graphical knowledge. The final weighted score for a feature is determined by summing a feature's family-weighted scores across all families in which the feature appears.

Version:	1.0
Imports:	Rcpp (≥ 1.0.6), plyr (≥ 1.8.6), stats (≥ 3.6.0)
LinkingTo:	Rcpp, RcppArmadillo
Published:	2021-02-05
Author:	Michelle Saul
Maintainer:	Michelle Saul <msaul at carisls.com>
License:	GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation:	yes
CRAN checks:	FamilyRank results

Documentation:

Reference manual:

FamilyRank.pdf

Downloads:

Package source:	FamilyRank_1.0.tar.gz
Windows binaries:	r-devel: FamilyRank_1.0.zip, r-release: FamilyRank_1.0.zip, r-oldrel: FamilyRank_1.0.zip
macOS binaries:	r-release (arm64): FamilyRank_1.0.tgz, r-oldrel (arm64): FamilyRank_1.0.tgz, r-release (x86_64): FamilyRank_1.0.tgz, r-oldrel (x86_64): FamilyRank_1.0.tgz

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