PAFit: Generative Mechanism Estimation in Temporal Complex Networks (original) (raw)
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: | 1.2.11 |
|---|---|
| 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: | 2025-09-07 |
| DOI: | 10.32614/CRAN.package.PAFit |
| Author: | Thong Pham [aut, cre], Paul Sheridan [aut], Hidetoshi Shimodaira [aut] |
| Maintainer: | Thong Pham |
| 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 |
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