Features tools for the network data analysis and community detection. Provides multiple methods for fitting, model selection and goodness-of-fit testing in degree-corrected stochastic blocks models. Most of the computations are fast and scalable for sparse networks, esp. for Poisson versions of the models. Implements the following: Amini, Chen, Bickel and Levina (2013) <doi:10.1214/13-AOS1138> Bickel and Sarkar (2015) <doi:10.1111/rssb.12117> Lei (2016) <doi:10.1214/15-AOS1370> Wang and Bickel (2017) <doi:10.1214/16-AOS1457> Zhang and Amini (2020) <doi:10.48550/arXiv.2012.15047> Le and Levina (2022) <doi:10.1214/21-EJS1971>.
| Version: | 1.0.0 |
| Depends: | R (≥ 2.10) |
| Imports: | magrittr, Rcpp, Matrix, foreach, methods, stats, grDevices, graphics |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | testthat, knitr, rmarkdown, igraph, ggplot2, dplyr, tidyr, tibble, mixtools, EnvStats, purrr, RSpectra |
| Published: | 2022-11-09 |
| DOI: | 10.32614/CRAN.package.nett |
| Author: | Arash A. Amini |
| Maintainer: | Arash A. Amini <aaamini at ucla.edu> |
| BugReports: | https://github.com/aaamini/nett/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/aaamini/nett |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | nett results |
| Reference manual: | nett.html , nett.pdf |
| Vignettes: |
Community detection (source, R code) Visualization (source, R code) explore-comm (source, R code) hard_dcsbm_testing (source, R code) |
| Package source: | nett_1.0.0.tar.gz |
| Windows binaries: | r-devel: nett_1.0.0.zip, r-release: nett_1.0.0.zip, r-oldrel: nett_1.0.0.zip |
| macOS binaries: | r-release (arm64): nett_1.0.0.tgz, r-oldrel (arm64): nett_1.0.0.tgz, r-release (x86_64): nett_1.0.0.tgz, r-oldrel (x86_64): nett_1.0.0.tgz |
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