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graphon : A Collection of Graphon Estimation Methods

graphon package provides a not-so-comprehensive list of methods for estimating graphon, a symmetric measurable function, from a single or multiple of observed networks.

Installation

You can install the released version from CRAN with:

install.packages("graphon")

or the development version from github:

## install.packages("devtools")
devtools::install_github("kisungyou/graphon")

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Version

Install

install.packages('graphon')

Monthly Downloads

488

Version

0.3.5

License

MIT + file LICENSE

Maintainer

Kisung You

Last Published

August 13th, 2021

Functions in graphon (0.3.5)

est.completion

Estimate graphons based on matrix completion scheme
est.nbdsmooth

Estimate edge probabilities by neighborhood smoothing
est.USVT

Estimate graphons based via Universal Singular Value Thresholding
est.SBA

Estimate graphons based on Stochastic Blockmodel approximation
gmodel.ER

Observations from Erdos-Renyi random graph model
graphon-package

graphon : A Collection of Graphon Estimation Methods
gmodel.P

Generate graphs given a probability matrix
est.LG

Estimate graphons based on empirical degrees
cv.SBA

Cross validation for selecting optimal precision parameter in SBA method.
gmodel.block

Generate binary random graphs based on stochastic blockmodel
gmodel.preset

Generate one of pre-specified graphons.