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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.
Package details 


Author  Thong Pham, Paul Sheridan, Hidetoshi Shimodaira 
Date of publication  20160525 15:52:19 
Maintainer  Thong Pham <thongpham@thongpham.net> 
License  GPL3 
Version  0.1.3 
Package repository  View on CRAN 
Installation 
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