{
  "_id": "6a22a0f6cd65a98ecbd5886f",
  "Package": "NAC",
  "Type": "Package",
  "Title": "Network-Adjusted Covariates for Community Detection",
  "Version": "0.1.0",
  "Author": "Yaofang Hu [aut, cre], Wanjie Wang [aut]",
  "Maintainer": "Yaofang Hu <yaofangh@smu.edu>",
  "Description": "Incorporating node-level covariates for community\ndetection has gained increasing attention these years. This\npackage provides the function for implementing the novel\ncommunity detection algorithm known as Network-Adjusted\nCovariates for Community Detection (NAC), which is designed to\ndetect latent community structure in graphs with node-level\ninformation, i.e., covariates. This algorithm can handle models\nsuch as the degree-corrected stochastic block model (DCSBM)\nwith covariates. NAC specifically addresses the discrepancy\nbetween the community structure inferred from the adjacency\ninformation and the community structure inferred from the\ncovariates information. For more detailed information, please\nrefer to the reference paper: Yaofang Hu and Wanjie Wang (2023)\n<arXiv:2306.15616>. In addition to NAC, this package includes\nseveral other existing community detection algorithms that are\ncompared to NAC in the reference paper. These algorithms are\nSpectral Clustering On Ratios-of Eigenvectors (SCORE),\nnetwork-based regularized spectral clustering (Net-based),\ncovariate-based spectral clustering (Cov-based),\ncovariate-assisted spectral clustering (CAclustering) and\nsemidefinite programming (SDP).",
  "License": "GPL-2",
  "Encoding": "UTF-8",
  "URL": "https://arxiv.org/abs/2306.15616",
  "Authors@R": "c(person(\"Yaofang\", \"Hu\", role=c(\"aut\", \"cre\"), email = \"yaofangh@smu.edu\"),\nperson(\"Wanjie\", \"Wang\", role=c(\"aut\"), email = \"staww@nus.edu.sg\"))",
  "RoxygenNote": "7.2.3",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-05 10:09:37 UTC",
    "User": "root"
  },
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2023-12-05 02:39:27 UTC",
  "RemoteUrl": "https://github.com/cran/NAC",
  "RemoteRef": "HEAD",
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  "MD5sum": "2c9b52b9d0e047dcb0467087da504faa",
  "_user": "cran",
  "_type": "src",
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  "_created": "2026-06-05T10:09:37.000Z",
  "_published": "2026-06-05T10:12:06.382Z",
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  "_buildurl": "https://github.com/r-universe/cran/actions/runs/27008730366",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/cran/NAC",
  "_commit": {
    "id": "baacce2fc9e8e1fd679d27e103ca2d04d5f80dca",
    "author": "Yaofang Hu <yaofangh@smu.edu>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 0.1.0\n",
    "time": 1701743967
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  "_maintainer": {
    "name": "Yaofang Hu",
    "email": "yaofangh@smu.edu"
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.2.2.0",
      "role": "Depends"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "pracma",
      "role": "Imports"
    },
    {
      "package": "testthat",
      "role": "Suggests"
    },
    {
      "package": "igraph",
      "role": "Suggests"
    }
  ],
  "_owner": "cran",
  "_selfowned": false,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_stars": 0,
  "_userbio": {
    "uuid": 6899542,
    "type": "organization",
    "name": "cran",
    "description": "Unofficial read-only mirror of all CRAN R packages"
  },
  "_downloads": {
    "count": 126,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/NAC"
  },
  "_searchresults": 12,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/NAC.html",
    "manual.pdf"
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  "_realowner": "cran",
  "_cranurl": false,
  "_releases": [
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      "date": "2023-12-04"
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  "_exports": [
    "CAclustering",
    "Cov_based",
    "NAC",
    "Net_based",
    "SCORE",
    "SDP"
  ],
  "_help": [
    {
      "page": "CAclustering",
      "title": "Covariate Assisted Spectral Clustering.",
      "topics": [
        "CAclustering"
      ]
    },
    {
      "page": "Cov_based",
      "title": "Covariates-based Spectral Clustering.",
      "topics": [
        "Cov_based"
      ]
    },
    {
      "page": "NAC",
      "title": "Spectral Clustering on Network-Adjusted Covariates.",
      "topics": [
        "NAC"
      ]
    },
    {
      "page": "Net_based",
      "title": "Network-based Regularized Spectral Clustering.",
      "topics": [
        "Net_based"
      ]
    },
    {
      "page": "SCORE",
      "title": "Spectral Clustering On Ratios-of-Eigenvectors.",
      "topics": [
        "SCORE"
      ]
    },
    {
      "page": "SDP",
      "title": "Semidefinite programming for Community Detection in Networks with Covariates.",
      "topics": [
        "SDP"
      ]
    }
  ],
  "_rundeps": [
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  "_score": 1.0791812460476249,
  "_indexed": true,
  "_nocasepkg": "nac",
  "_universes": [
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