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

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").

Version: 0.8.7
Depends: R (≥ 2.10.0)
Imports: Rcpp (≥ 0.11.3) , grDevices, graphics, stats, RColorBrewer, VGAM
LinkingTo: Rcpp
Suggests: R.rsp
Published: 2016-10-18
Author: Thong Pham, Paul Sheridan, Hidetoshi Shimodaira
Maintainer: Thong Pham <thongpham at thongpham.net>
License: GPL-3
URL: http://www.nature.com/articles/srep32558, http://dx.doi.org/10.1371/journal.pone.0137796, http://dx.doi.org/10.1007/978-3-319-29228-1_13
NeedsCompilation: yes
Citation: PAFit citation info
In views: SocialSciences
CRAN checks: PAFit results

Downloads:

Reference manual: PAFit.pdf
Vignettes: An Introduction to PAFit
Package source: PAFit_0.8.7.tar.gz
Windows binaries: r-devel: PAFit_0.8.7.zip, r-release: PAFit_0.8.7.zip, r-oldrel: PAFit_0.8.7.zip
OS X Mavericks binaries: r-release: PAFit_0.8.7.tgz, r-oldrel: PAFit_0.8.7.tgz
Old sources: PAFit archive

Reverse dependencies:

Reverse imports: mcPAFit

Linking:

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