Man pages for RANKS
Ranking of Nodes with Kernelized Score Functions

do.GBAGBA cross-validation experiments with multiple classes
do.loo.RANKSRANKS leave-one-out experiments with multiple classes
do.RANKSRANKS cross-validation experiments with multiple classes
do.RWRandom walk cross-validation experiments with multiple...
do.RWRRandom walk with restart cross-validation experiments with...
find.optimal.thresh.cvFunction to find the optimal RANKS score thereshold
GBAmaxGuilt By Association (GBA) using the maximum rule
GBAsumGuilt By Association (GBA) using the sum rule
kernel.functionsKernel functions
ker.score.classifier.cvMultiple cross-validation with RANKS for classification
ker.score.classifier.holdoutRANKS held-out procedure for a single class
ker.score.cvRANKS cross-validation for a single class
label.propLabel propagation
multiple.ker.score.cvRANKS multiple cross-validation for a single class
multiple.ker.score.thresh.cvFunction for RANKS multiple cross-validation and optimal...
multiple.RW.cvRandom walk, GBA and labelprop multiple cross-validation for...
RANKS-packageRanking of Nodes with Kernelized Score Functions
RWRandom walk on a graph
RW.cvRandom walk, GBA and labelprop cross-validation for a single...
rw.kernel-methodsRandom walk kernel
RWRRandom walk with Restart on a graph
score.multiple.vertex-methodsMultiple vertex score functions
score.single.vertex-methodsSingle vertex score functions
UtilitiesUtility functions
RANKS documentation built on May 29, 2017, 12:24 p.m.