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.


Reference manual

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1.0 by Michelle Saul, a year ago

Browse source code at

Authors: Michelle Saul

Documentation:   PDF Manual  

GPL license

Imports Rcpp, plyr, stats

Linking to Rcpp, RcppArmadillo

See at CRAN