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.

Version: 0.1.4
Depends: R (≥ 2.10.0)
Imports: Rcpp (≥ 0.11.3) , grDevices, graphics, stats, RColorBrewer, PAFit
LinkingTo: Rcpp
Published: 2017-06-30
Author: Thong Pham
Maintainer: Thong Pham <thongpham at thongpham.net>
License: GPL-3
NeedsCompilation: yes
CRAN checks: mcPAFit results

Downloads:

Reference manual: mcPAFit.pdf
Package source: mcPAFit_0.1.4.tar.gz
Windows binaries: r-devel: mcPAFit_0.1.4.zip, r-release: mcPAFit_0.1.4.zip, r-oldrel: mcPAFit_0.1.4.zip
OS X El Capitan binaries: r-release: mcPAFit_0.1.4.tgz
OS X Mavericks binaries: r-oldrel: mcPAFit_0.1.4.tgz
Old sources: mcPAFit archive

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