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 gmail.com> |
BugReports: |
https://github.com/thongphamthe/PAFit/issues |
License: |
GPL-3 |
URL: |
https://github.com/thongphamthe/PAFit |
NeedsCompilation: |
yes |
Citation: |
PAFit citation info |
Materials: |
NEWS |
CRAN checks: |
PAFit results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=PAFit
to link to this page.