{
  "_id": "6a33dc6e3efcd9bda43b75d9",
  "Package": "gmmsslm",
  "Type": "Package",
  "Title": "Semi-Supervised Gaussian Mixture Model with a Missing-Data\nMechanism",
  "Version": "1.1.6",
  "Authors@R": "c(person(\"Ziyang Lyu\", role = c(\"aut\", \"cre\"), email = \"ziyang.lyu@unsw.edu.au\"),person(\"Daniel Ahfock\", role = \"aut\"),person(\"Ryan Thompson\", role = \"aut\"),person(\"Geoffrey J. McLachlan\", role = \"aut\"))",
  "Description": "The algorithm of semi-supervised learning is based on\nfinite Gaussian mixture models and includes a mechanism for\nhandling missing data. It aims to fit a g-class Gaussian\nmixture model using maximum likelihood. The algorithm treats\nthe labels of unclassified features as missing data, building\non the framework introduced by Rubin (1976)\n<doi:10.2307/2335739> for missing data analysis. By taking into\naccount the dependencies in the missing pattern, the algorithm\nprovides more information for determining the optimal\nclassifier, as specified by Bayes' rule.",
  "License": "GPL-3",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "RoxygenNote": "7.2.3",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-18 11:16:50 UTC",
    "User": "root"
  },
  "Author": "Ziyang Lyu [aut, cre], Daniel Ahfock [aut], Ryan Thompson\n[aut], Geoffrey J. McLachlan [aut]",
  "Maintainer": "Ziyang Lyu <ziyang.lyu@unsw.edu.au>",
  "Repository": "https://lyu9118.r-universe.dev",
  "Date/Publication": "2025-04-17 04:20:02 UTC",
  "RemoteUrl": "https://github.com/cran/gmmsslm",
  "RemoteRef": "HEAD",
  "RemoteSha": "16668b092909cbe274c40e54f4f5523ef8215224",
  "MD5sum": "91359b98e58dbbed66612514516c0982",
  "_user": "lyu9118",
  "_type": "src",
  "_file": "gmmsslm_1.1.6.tar.gz",
  "_fileid": "fad96d0d64f5d85b6350cc68a2ec078b683625cf4432675d1017e94ee2396bec",
  "_filesize": 277699,
  "_sha256": "fad96d0d64f5d85b6350cc68a2ec078b683625cf4432675d1017e94ee2396bec",
  "_created": "2026-06-18T11:16:50.000Z",
  "_published": "2026-06-18T11:54:22.817Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 82116975709,
      "time": 105,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7721786078"
    },
    {
      "job": 82116975743,
      "time": 97,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7721783602"
    },
    {
      "job": 82116975722,
      "time": 95,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7721782321"
    },
    {
      "job": 82116975754,
      "time": 84,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7721778467"
    },
    {
      "job": 82116559026,
      "time": 142,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7721751008"
    },
    {
      "job": 82116975710,
      "time": 85,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7721779245"
    },
    {
      "job": 82116975763,
      "time": 1984,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7722431406"
    },
    {
      "job": 82116975791,
      "time": 72,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7721775422"
    },
    {
      "job": 82116975770,
      "time": 2216,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7722514941"
    }
  ],
  "_buildurl": "https://github.com/r-universe/lyu9118/actions/runs/27755587821",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/cran/gmmsslm",
  "_commit": {
    "id": "16668b092909cbe274c40e54f4f5523ef8215224",
    "author": "Ziyang Lyu <ziyang.lyu@unsw.edu.au>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 1.1.6\n",
    "time": 1744863602
  },
  "_maintainer": {
    "name": "Ziyang Lyu",
    "email": "ziyang.lyu@unsw.edu.au",
    "login": "lyu9118",
    "description": "A statistician ",
    "uuid": 80146870
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 3.1.0",
      "role": "Depends"
    },
    {
      "package": "mvtnorm",
      "role": "Depends"
    },
    {
      "package": "stats",
      "role": "Depends"
    },
    {
      "package": "methods",
      "role": "Depends"
    }
  ],
  "_owner": "cran",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_stars": 0,
  "_contributors": [
    {
      "user": "lyu9118",
      "count": 5,
      "uuid": 80146870
    }
  ],
  "_userbio": {
    "uuid": 80146870,
    "type": "user",
    "name": "Ziyang Lyu",
    "followers": 0,
    "description": "A statistician "
  },
  "_downloads": {
    "count": 564,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/gmmsslm"
  },
  "_searchresults": 0,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/gmmsslm.html",
    "manual.pdf"
  ],
  "_realowner": "lyu9118",
  "_cranurl": false,
  "_releases": [
    {
      "version": "1.1.1",
      "date": "2023-02-16"
    },
    {
      "version": "1.1.2",
      "date": "2023-02-26"
    },
    {
      "version": "1.1.4",
      "date": "2023-05-16"
    },
    {
      "version": "1.1.5",
      "date": "2023-10-16"
    },
    {
      "version": "1.1.6",
      "date": "2025-04-17"
    }
  ],
  "_exports": [
    "bayesclassifier",
    "cov2vec",
    "discriminant_beta",
    "erate",
    "get_clusterprobs",
    "get_entropy",
    "gmmsslm",
    "initialvalue",
    "list2par",
    "loglk_full",
    "loglk_ig",
    "loglk_miss",
    "logsumexp",
    "makelabelmatrix",
    "neg_objective_function",
    "normalise_logprob",
    "par2list",
    "paraextract",
    "plot_missingness",
    "predict",
    "pro2vec",
    "rlabel",
    "rmix",
    "summary",
    "vec2cov",
    "vec2pro"
  ],
  "_datasets": [
    {
      "name": "gastro_data",
      "title": "Gastrointestinal dataset",
      "object": "gastro_data",
      "class": [
        "spec_tbl_df",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "feature 294",
        "feature 441",
        "feature 472",
        "feature 486",
        "class_agreement",
        "missinglabel_indicator",
        "ground truth"
      ],
      "rows": 76,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "bayesclassifier",
      "title": "Bayes' rule of allocation",
      "topics": [
        "bayesclassifier"
      ]
    },
    {
      "page": "bootstrap_gmmsslm",
      "title": "Bootstrap Analysis for gmmsslm",
      "topics": [
        "bootstrap_gmmsslm"
      ]
    },
    {
      "page": "cov2vec",
      "title": "Transform a variance matrix into a vector",
      "topics": [
        "cov2vec"
      ]
    },
    {
      "page": "discriminant_beta",
      "title": "Discriminant function",
      "topics": [
        "discriminant_beta"
      ]
    },
    {
      "page": "erate",
      "title": "Error rate of the Bayes rule for a g-class Gaussian mixture model",
      "topics": [
        "erate"
      ]
    },
    {
      "page": "errorrate",
      "title": "Error rate of the Bayes rule for two-class Gaussian homoscedastic model",
      "topics": [
        "errorrate"
      ]
    },
    {
      "page": "gastro_data",
      "title": "Gastrointestinal dataset",
      "topics": [
        "gastro_data"
      ]
    },
    {
      "page": "get_clusterprobs",
      "title": "Posterior probability",
      "topics": [
        "get_clusterprobs"
      ]
    },
    {
      "page": "get_entropy",
      "title": "Shannon entropy",
      "topics": [
        "get_entropy"
      ]
    },
    {
      "page": "gmmsslm",
      "title": "Fitting Gaussian mixture model to a complete classified dataset or an incomplete classified dataset with/without the missing-data mechanism.",
      "topics": [
        "gmmsslm"
      ]
    },
    {
      "page": "gmmsslmFit-class",
      "title": "gmmsslmFit Class",
      "topics": [
        "gmmsslmFit-class"
      ]
    },
    {
      "page": "initialvalue",
      "title": "Initial values for ECM",
      "topics": [
        "initialvalue"
      ]
    },
    {
      "page": "list2par",
      "title": "Transfer a list into a vector",
      "topics": [
        "list2par"
      ]
    },
    {
      "page": "loglk_full",
      "title": "Full log-likelihood function",
      "topics": [
        "loglk_full"
      ]
    },
    {
      "page": "loglk_ig",
      "title": "Log likelihood for partially classified data with ingoring the missing mechanism",
      "topics": [
        "loglk_ig"
      ]
    },
    {
      "page": "loglk_miss",
      "title": "Log likelihood function formed on the basis of the missing-label indicator",
      "topics": [
        "loglk_miss"
      ]
    },
    {
      "page": "logsumexp",
      "title": "log summation of exponential function",
      "topics": [
        "logsumexp"
      ]
    },
    {
      "page": "makelabelmatrix",
      "title": "Label matrix",
      "topics": [
        "makelabelmatrix"
      ]
    },
    {
      "page": "neg_objective_function",
      "title": "Negative objective function for gmmssl",
      "topics": [
        "neg_objective_function"
      ]
    },
    {
      "page": "normalise_logprob",
      "title": "Normalize log-probability",
      "topics": [
        "normalise_logprob"
      ]
    },
    {
      "page": "par2list",
      "title": "Transfer a vector into a list",
      "topics": [
        "par2list"
      ]
    },
    {
      "page": "paraextract",
      "title": "Extract parameter list from gmmsslmFit objects",
      "topics": [
        "paraextract",
        "paraextract,gmmsslmFit-method"
      ]
    },
    {
      "page": "plot_missingness",
      "title": "Plot Missingness Mechanism and Boxplot",
      "topics": [
        "plot_missingness"
      ]
    },
    {
      "page": "predict",
      "title": "Predict unclassified label",
      "topics": [
        "predict",
        "predict,gmmsslmFit-method"
      ]
    },
    {
      "page": "pro2vec",
      "title": "Transfer a probability vector into a vector",
      "topics": [
        "pro2vec"
      ]
    },
    {
      "page": "rlabel",
      "title": "Generation of a missing-data indicator",
      "topics": [
        "rlabel"
      ]
    },
    {
      "page": "rmix",
      "title": "Normal mixture model generator.",
      "topics": [
        "rmix"
      ]
    },
    {
      "page": "summary",
      "title": "Summary method for gmmsslmFit objects",
      "topics": [
        "summary",
        "summary,gmmsslmFit-method"
      ]
    },
    {
      "page": "vec2cov",
      "title": "Transform a vector into a matrix",
      "topics": [
        "vec2cov"
      ]
    },
    {
      "page": "vec2pro",
      "title": "Transfer an informative vector to a probability vector",
      "topics": [
        "vec2pro"
      ]
    }
  ],
  "_rundeps": [
    "mvtnorm"
  ],
  "_score": 1,
  "_indexed": true,
  "_nocasepkg": "gmmsslm",
  "_universes": [
    "lyu9118"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.1.6",
      "date": "2026-06-18T11:18:37.000Z",
      "distro": "noble",
      "commit": "16668b092909cbe274c40e54f4f5523ef8215224",
      "fileid": "45b4f5c5212dfd99151c1e737bb64a7535af6bcf0776ced72652640843b77391",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/lyu9118/actions/runs/27755587821"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "1.1.6",
      "date": "2026-06-18T11:18:31.000Z",
      "distro": "noble",
      "commit": "16668b092909cbe274c40e54f4f5523ef8215224",
      "fileid": "2b2e436ab03c7fb8288347dcd94dd1a06a9f24d3156d147783d623256fb2e232",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/lyu9118/actions/runs/27755587821"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "1.1.6",
      "date": "2026-06-18T11:18:29.000Z",
      "commit": "16668b092909cbe274c40e54f4f5523ef8215224",
      "fileid": "464423b687e63e597e9e57d80820e311dd0ef5a62e58e1b348ac93f6a8e11f82",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/lyu9118/actions/runs/27755587821"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "1.1.6",
      "date": "2026-06-18T11:18:17.000Z",
      "commit": "16668b092909cbe274c40e54f4f5523ef8215224",
      "fileid": "563f521275262bb02df476f9e420e85a23e70411bcc56bcf5fd6664abed1ae3b",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/lyu9118/actions/runs/27755587821"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "1.1.6",
      "date": "2026-06-18T11:18:29.000Z",
      "commit": "16668b092909cbe274c40e54f4f5523ef8215224",
      "fileid": "5cba552480f3621094f8f5abbb738332488def166628f934ca50e2ac409ea211",
      "status": "success",
      "buildurl": "https://github.com/r-universe/lyu9118/actions/runs/27755587821"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "1.1.6",
      "date": "2026-06-18T11:43:49.000Z",
      "commit": "16668b092909cbe274c40e54f4f5523ef8215224",
      "fileid": "da99228e7daea4ca6329d3e0e979d87ba208c8113fdc2cef02176285e8f78db7",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/lyu9118/actions/runs/27755587821"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "1.1.6",
      "date": "2026-06-18T11:18:02.000Z",
      "commit": "16668b092909cbe274c40e54f4f5523ef8215224",
      "fileid": "5b8f399aab96e8c1560d7121596dec03420b20048e38237d64d1abb48897f7c9",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/lyu9118/actions/runs/27755587821"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "1.1.6",
      "date": "2026-06-18T11:53:46.000Z",
      "commit": "16668b092909cbe274c40e54f4f5523ef8215224",
      "fileid": "bc185dc32da3d6abad1c2f0fdd8e15c26e0589a57748613186c360d57809db7f",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/lyu9118/actions/runs/27755587821"
    }
  ]
}