{
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  "Package": "missSBM",
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  "Title": "Handling Missing Data in Stochastic Block Models",
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  "Authors@R": "c(\nperson(\"Julien\", \"Chiquet\", role = c(\"aut\", \"cre\"), email = \"julien.chiquet@inrae.fr\",\ncomment = c(ORCID = \"0000-0002-3629-3429\")),\nperson(\"Pierre\", \"Barbillon\", role = \"aut\", email = \"pierre.barbillon@agroparistech.fr\",\ncomment = c(ORCID = \"0000-0002-7766-7693\")),\nperson(\"Timothée\", \"Tabouy\", role = \"aut\", email = \"timothee.tabouy@agroparistech.fr\"),\nperson(\"Jean-Benoist\", \"Léger\", role = \"ctb\", email = \"jbleger@hds.utc.fr\", comment = \"provided C++ implementaion of K-means\"),\nperson(\"François\", \"Gindraud\", role = \"ctb\", email = \"francois.gindraud@gmail.com\", comment = \"provided C++ interface to NLopt\"),\nperson(\"großBM team\", role = c(\"ctb\"))\n)",
  "Maintainer": "Julien Chiquet <julien.chiquet@inrae.fr>",
  "Description": "When a network is partially observed (here, NAs in the\nadjacency matrix rather than 1 or 0 due to missing information\nbetween node pairs), it is possible to account for the\nunderlying process that generates those NAs. 'missSBM',\npresented in 'Barbillon, Chiquet and Tabouy' (2022)\n<doi:10.18637/jss.v101.i12>, adjusts the popular stochastic\nblock model from network data sampled under various missing\ndata conditions, as described in 'Tabouy, Barbillon and\nChiquet' (2019) <doi:10.1080/01621459.2018.1562934>.",
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  "Author": "Julien Chiquet [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-3629-3429>), Pierre Barbillon\n[aut] (ORCID: <https://orcid.org/0000-0002-7766-7693>),\nTimothée Tabouy [aut], Jean-Benoist Léger [ctb] (provided C++\nimplementaion of K-means), François Gindraud [ctb] (provided\nC++ interface to NLopt), großBM team [ctb]",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2026-07-21 22:40:02 UTC",
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    "observeNetwork"
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    },
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      "title": "missSBM: a case study with war networks",
      "author": "missSBM team",
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        "The war network",
        "Generating missing data",
        "Estimation with missing data",
        "Estimation on fully observed network",
        "Taking covariates into account",
        "Military power",
        "Trade data",
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