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>.">

nett: Network Analysis and Community Detection (original) (raw)

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 ORCID iD [aut, cre], Linfan Zhang [aut]
Maintainer: Arash A. Amini
BugReports: https://github.com/aaamini/nett/issues
License: MIT + file
URL: https://github.com/aaamini/nett
NeedsCompilation: yes
Materials: README
CRAN checks: nett results

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