<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Network Analysis and Community Detection</dc:title>
  <dc:title>R package nett version 1.0.0</dc:title>
  <dc:description>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) &lt;doi:10.1214/13-AOS1138&gt;
    Bickel and Sarkar (2015) &lt;doi:10.1111/rssb.12117&gt;
    Lei (2016) &lt;doi:10.1214/15-AOS1370&gt;
    Wang and Bickel (2017) &lt;doi:10.1214/16-AOS1457&gt;
    Zhang and Amini (2020) &lt;arXiv:2012.15047&gt;
    Le and Levina (2022) &lt;doi:10.1214/21-EJS1971&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.10)</dc:relation>
  <dc:relation>Imports: magrittr, Rcpp, Matrix, foreach, methods, stats, grDevices,
graphics</dc:relation>
  <dc:relation>LinkingTo: Rcpp, RcppArmadillo</dc:relation>
  <dc:relation>Suggests: testthat, knitr, rmarkdown, igraph, ggplot2, dplyr, tidyr,
tibble, mixtools, EnvStats, purrr, RSpectra</dc:relation>
  <dc:creator>Arash A. Amini &lt;aaamini@ucla.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Arash A. Amini [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0002-2808-8310&gt;),
  Linfan Zhang [aut]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=nett/LICENSE)</dc:rights>
  <dc:date>2022-11-09</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=nett</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.nett</dc:identifier>
</oai_dc:dc>
