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 [aut, cre], Linfan Zhang [aut] 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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=nett to link to this page.
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