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graphon (version 0.2.0)

A Collection of Graphon Estimation Methods

Description

Provides a not-so-comprehensive list of methods for estimating graphon, a symmetric measurable function, from a single or multiple of observed networks. For a detailed introduction on graphon and popular estimation techniques, see the paper by Orbanz, P. and Roy, D.M.(2014) . It also contains several auxiliary functions for generating sample networks using various network models and graphons.

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Version

Install

install.packages('graphon')

Monthly Downloads

274

Version

0.2.0

License

GPL (>= 3)

Maintainer

Kisung You

Last Published

November 8th, 2017

Functions in graphon (0.2.0)

est.LG

Estimate graphons based on empirical degrees
graphon

graphon : a Collection of Graphon Estimation Methods
gmodel.ER

Observations from Erdos-Renyi random graph model
gmodel.P

Generate graphs given a probability matrix
cv.SBA

Cross validation for selecting optimal precision parameter in SBA method.
est.SBA

Estimate graphons based on Stochastic Blockmodel approximation
est.USVT

Estimate graphons based via Universal Singular Value Thresholding
gmodel.block

Generate binary random graphs based on stochastic blockmodel
gmodel.preset

Generate one of pre-specified graphons.
est.completion

Estimate graphons based on matrix completion scheme
est.nbdsmooth

Estimate edge probabilities by neighborhood smoothing