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>. Thong Pham et al. (2020) <doi:10.18637/jss.v092.i03>. Thong Pham et al. (2021) <doi:10.1093/comnet/cnab024>.

Version: 1.2.10
Depends: R (≥ 2.10.0)
Imports: Rcpp (≥ 0.11.3) , grDevices, graphics, stats, RColorBrewer, VGAM, MASS, magicaxis, networkDynamic, network, plyr, igraph, mapproj, knitr, methods, ggplot2
LinkingTo: Rcpp
Suggests: R.rsp
Published: 2024-03-28
DOI: 10.32614/CRAN.package.PAFit
Author: Thong Pham, Paul Sheridan, Hidetoshi Shimodaira
Maintainer: Thong Pham <thongphamthe at>
License: GPL-3
NeedsCompilation: yes
Citation: PAFit citation info
Materials: NEWS
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_1.2.10.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): PAFit_1.2.10.tgz, r-oldrel (arm64): PAFit_1.2.10.tgz, r-release (x86_64): PAFit_1.2.10.tgz, r-oldrel (x86_64): PAFit_1.2.10.tgz
Old sources: PAFit archive


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