R: Network Pre-Processing and Normalization

# Network Pre-Processing and Normalization

## Documentation for package ‘NetPreProc’ version 1.2

- DESCRIPTION file

## Help Pages

NetPreProc-package | NetPreProc
Binary.matrix.by.thresh | Transforming a real-valued network matrix into a binary matrix
Binary.matrix.by.thresh-method | Transforming a real-valued network matrix into a binary matrix
check.network | Graph checking
check.network-method | Graph checking
Chua.norm | Chua normalization
Chua.norm-method | Chua normalization
Do.sim.matrix.Pearson | Construction of the Pearson correlation matrix
Laplacian.norm | Laplacian graph normalization
Laplacian.norm-method | Laplacian graph normalization
Magnify.binary.features.norm | Normalization of binary matrices
Magnify.binary.features.norm-method | Normalization of binary matrices
Max.Min.norm | Max-min graph normalization
Max.Min.norm-method | Max-min graph normalization
Prob.norm | Probabilistic normalization of a graph
Prob.norm-method | Probabilistic normalization of a graph
Sparsify.matrix | Sparsifying the graph
Sparsify.matrix-method | Sparsifying the graph
Sparsify.matrix.fixed.neighbours | Sparsifying the graph by a fixed number of edges per node
Sparsify.matrix.fixed.neighbours-method | Sparsifying the graph by a fixed number of edges per node