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

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Reference manual: FamilyRank.pdf
Package source: FamilyRank_1.0.tar.gz
Windows binaries: r-devel: FamilyRank_1.0.zip, r-devel-UCRT: 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-release (x86_64): FamilyRank_1.0.tgz, r-oldrel: FamilyRank_1.0.tgz

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