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. More details about the method can be found at To cite this package in your projects, please run the command: citation("PAFit") for a list of references you should cite.

Version: 0.7.5
Depends: R (≥ 2.10.0)
Imports: Rcpp (≥ 0.11.3) , grDevices, graphics, stats
LinkingTo: Rcpp
Suggests: R.rsp
Published: 2015-09-18
Author: Thong Pham, Paul Sheridan, Hidetoshi Shimodaira
Maintainer: Thong Pham <thongpham at>
License: GPL-3
NeedsCompilation: yes
Citation: PAFit citation info
In views: SocialSciences
CRAN checks: PAFit results


Reference manual: PAFit.pdf
Vignettes: An Introduction to PAFit
Package source: PAFit_0.7.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: PAFit_0.7.5.tgz, r-oldrel: PAFit_0.7.2.tgz
OS X Mavericks binaries: r-release: PAFit_0.7.5.tgz
Old sources: PAFit archive