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NetPreProc (version 1.2)

Network Pre-Processing and Normalization

Description

Network Pre-Processing and normalization. Methods for normalizing graphs, including Chua normalization, Laplacian normalization, Binary magnification, min-max normalization and others. Methods to sparsify adjacency matrices. Methods for graph pre-processing and for filtering edges of the graph.

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Version

Install

install.packages('NetPreProc')

Monthly Downloads

232

Version

1.2

License

GPL (>= 2)

Maintainer

Giorgio Valentini

Last Published

September 19th, 2022

Functions in NetPreProc (1.2)

check.network-methods

Graph checking
Max.Min.norm-methods

Max-min graph normalization
Do.sim.matrix.Pearson

Construction of the Pearson correlation matrix
Magnify.binary.features.norm-methods

Normalization of binary matrices
Chua.norm-methods

Chua normalization
Laplacian.norm-methods

Laplacian graph normalization
NetPreProc-package

NetPreProc
Binary.matrix.by.thresh-methods

Transforming a real-valued network matrix into a binary matrix
Sparsify.matrix-methods

Sparsifying the graph
Prob.norm-methods

Probabilistic normalization of a graph
Sparsify.matrix.fixed.neighbours-methods

Sparsifying the graph by a fixed number of edges per node