PAFit: Generative Mechanism Estimation in Temporal Complex Networks

Statistical methods for estimating preferential attachment and node fitness generative mechanisms in temporal complex networks are provided. Thong Pham et al. (2015) <doi:10.1371/journal.pone.0137796>. Thong Pham et al. (2016) <doi:10.1038/srep32558>.

Depends: R (≥ 2.10.0)
Imports: Rcpp (≥ 0.11.3) , grDevices, graphics, stats, RColorBrewer, VGAM, MASS, magicaxis, networkDynamic, network, plyr, igraph, mapproj, knitr
LinkingTo: Rcpp
Suggests: R.rsp
Published: 2019-09-24
Author: Thong Pham, Paul Sheridan, Hidetoshi Shimodaira
Maintainer: Thong Pham <thongphamthe at>
License: GPL-3
NeedsCompilation: yes
Citation: PAFit citation info
Materials: NEWS
In views: SocialSciences
CRAN checks: PAFit results


Reference manual: PAFit.pdf
Vignettes: PAFit: an R Package for the Non-Parametric Estimation of Preferential Attachment and Node Fitness in Temporal Complex Networks
Package source: PAFit_1.0.1.4.tar.gz
Windows binaries: r-devel:, r-devel-gcc8:, r-release:, r-oldrel:
OS X binaries: r-release: PAFit_1.0.1.4.tgz, r-oldrel: PAFit_1.0.1.4.tgz
Old sources: PAFit archive

Reverse dependencies:

Reverse imports: mcPAFit


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