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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