Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
BioConductor
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mcPAFit (Package: mcPAFit) :

This function takes an input file name and then output the MCMC results into files.
● Data Source: CranContrib
● Keywords: Gibbs sampling, Markov chain Monte Carlo, Preferential Attachment function, missing timeline, package
● Alias: mcPAFit
● 0 images

mcPAFit-package (Package: mcPAFit) : Estimating Preferential Attachment from a Single Network Snapshot by Markov Chain Monte Carlo

A Markov chain Monte Carlo method is provided to estimate the preferential attachment function from a single network snapshot. Conventional methods require the complete information about the appearance order of all nodes and edges in the network. This package incorporates the appearance order into the state space and estimates it together with the preferential attachment function. Auxiliary variables are introduced to facilitate fast Gibbs sampling.
● Data Source: CranContrib
● Keywords: Gibbs sampling, Markov chain Monte Carlo, Preferential Attachment function, missing timeline, package
● Alias: mcPAFit-package
● 0 images

create_sim_data (Package: mcPAFit) :

A function generates a complex network from the Bianconi-Barabasi model and a random order to create a random network.
● Data Source: CranContrib
● Keywords: Gibbs sampling, Markov chain Monte Carlo, Preferential Attachment function, missing timeline, package
● Alias: create_sim_data
● 0 images