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PAFit (version 0.7.9)

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

0.7.9

License

GPL-3

Maintainer

Thong Pham

Last Published

July 5th, 2016

Functions in PAFit (0.7.9)

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
CreateDataCV

A function to create cross-validation data.
plot.PAFit

A function to plot the estimated attachment function and node fitness
PAFit

A function to estimate the attachment function and node fitness in temporal complex networks
performCV

A function to perform cross validation.
print.PAFit

A function to print a PAFit object
summary.PAFit

A function to summarize a PAFit object
GetStatistics

A function to summarize input data into sufficient statistics for estimating the attachment function and node fitness
print.PAFitData

A function to print a PAFitData object
GenerateNet

A function to generate simulated networks from the Barabasi-Albert model or the fitness model
summary.PAFitData

A function to summarize a PAFitData object