R: Cost Sensitive Network for node label prediction on graphs with highly unbalanced labelings

# Cost Sensitive Network for node label prediction on graphs with highly unbalanced labelings

## Documentation for package ‘COSNet’ version 1.47.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

COSNet-package | R package for binary classification and node ranking on partially labeled graphs with unbalanced labels.
COSNet | Cost Sensitive Network for node label prediction on graphs with highly unbalanced labelings
cosnet.cross.validation | Cross validation procedure for the COSNet algorithm
find.division.not.strat | Random partitioning of input data
find.division.strat | Compute a stratified random partition of the input data
generate_labels | Generate random labels
generate_points | Compute the points to be separated in Step 2 of COSNet algorithm (Frasca et al. 2013)
optimizep | Optimizing algorithm parameters
optimize_pos_above | Alternative algortihm for optimizing parameters
reg_data | Function to compute the regularized version of COSNet (Frasca et al. 2013)
runSubnet | Realizing the network dynamics.