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PAFit (version 0.8.7)

Nonparametric Estimation of Preferential Attachment and Node Fitness in Temporal Complex Networks

Description

A statistically sound method for estimating jointly the attachment function and node fitness in a temporal complex network by maximizing a suitable penalized log-likelihood function is implemented in this package. Tutorial can be found in the accompanying vignette. For a list of references, please run the command: citation("PAFit").

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Version

Install

install.packages('PAFit')

Monthly Downloads

439

Version

0.8.7

License

GPL-3

Maintainer

Thong Pham

Last Published

October 18th, 2016

Functions in PAFit (0.8.7)

summary.PAFit

A function to summarize a PAFit object
plot.PAFit

A function to plot the estimated attachment function and node fitness
summary.PAFitData

A function to summarize a PAFitData object
CreateDataCV

A function to create cross-validation data.
print.PAFitData

A function to print a PAFitData object
GenerateNet

A function to generate simulated networks from the General Temporal (GT) model
PAFit

A function to estimate the attachment function and node fitness in temporal complex networks
PAFit-package

A statistical sound method for joint estimation of the attachment function and node fitness in a temporal complex network by maximizing a suitable penalized log-likelihood function
print.PAFit

A function to print a PAFit object