DESCRIPTION

Package: missSBM
Type: Package
Title: Handling Missing Data in Stochastic Block Models
Version: 1.0.4
Authors@R: c(
  person("Julien", "Chiquet", role = c("aut", "cre"), email = "julien.chiquet@inrae.fr",
      comment = c(ORCID = "0000-0002-3629-3429")),
  person("Pierre", "Barbillon", role = "aut", email = "pierre.barbillon@agroparistech.fr",
      comment = c(ORCID = "0000-0002-7766-7693")),
  person("Timothée", "Tabouy", role = "aut", email = "timothee.tabouy@agroparistech.fr"),
  person("Jean-Benoist", "Léger", role = "ctb", email = "jbleger@hds.utc.fr", comment = "provided C++ implementaion of K-means"),
  person("François", "Gindraud", role = "ctb", email = "francois.gindraud@gmail.com", comment = "provided C++ interface to NLopt"),
  person("großBM team", role = c("ctb"))
  )
Maintainer: Julien Chiquet <julien.chiquet@inrae.fr>
Description: When a network is partially observed (here, NAs in the adjacency matrix rather than 1 or 0 
  due to missing information between node pairs), it is possible to account for the underlying process
  that generates those NAs. 'missSBM', presented in 'Barbillon, Chiquet and Tabouy' (2022) <doi:10.18637/jss.v101.i12>,
  adjusts the popular stochastic block model from network data sampled under various missing data conditions, 
  as described in 'Tabouy, Barbillon and Chiquet' (2019) <doi:10.1080/01621459.2018.1562934>.
URL: https://grosssbm.github.io/missSBM/
BugReports: https://github.com/grossSBM/missSBM/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
Depends: R (>= 3.4.0)
Imports: 
    Rcpp,
    methods,
    igraph,
    nloptr,
    ggplot2,
    future.apply,
    R6,
    rlang,
    sbm,
    magrittr,
    Matrix,
    RSpectra
LinkingTo: Rcpp, RcppArmadillo, nloptr
Collate:
    'utils_missSBM.R'
    'R6Class-networkSampling.R'
    'R6Class-networkSampling_fit.R'
    'R6Class-simpleSBM_fit.R'
    'R6Class-missSBM_fit.R'
    'R6Class-missSBM_collection.R'
    'R6Class-networkSampler.R'
    'R6Class-partlyObservedNetwork.R'
    'RcppExports.R'
    'er_network.R'
    'estimateMissSBM.R'
    'frenchblog2007.R'
    'kmeans.R'
    'missSBM-package.R'
    'observeNetwork.R'
    'war.R'
Suggests: 
    aricode,
    blockmodels,
    corrplot,
    future,
    testthat (>= 2.1.0),
    covr,
    knitr,
    rmarkdown,
    spelling
VignetteBuilder: knitr
Language: en-US