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  "Package": "ldaPrototype",
  "Type": "Package",
  "Title": "Prototype of Multiple Latent Dirichlet Allocation Runs",
  "Version": "0.3.2",
  "Date": "2026-02-16",
  "Authors@R": "person(\"Jonas\", \"Rieger\", email=\"jonas.rieger@tu-dortmund.de\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0002-0007-4478\"))",
  "Description": "Determine a Prototype from a number of runs of Latent\nDirichlet Allocation (LDA) measuring its similarities with\nS-CLOP: A procedure to select the LDA run with highest mean\npairwise similarity, which is measured by S-CLOP (Similarity of\nmultiple sets by Clustering with Local Pruning), to all other\nruns. LDA runs are specified by its assignments leading to\nestimators for distribution parameters. Repeated runs lead to\ndifferent results, which we encounter by choosing the most\nrepresentative LDA run as prototype.",
  "URL": "https://github.com/JonasRieger/ldaPrototype",
  "BugReports": "https://github.com/JonasRieger/ldaPrototype/issues",
  "License": "GPL (>= 3)",
  "Encoding": "UTF-8",
  "RoxygenNote": "7.3.3",
  "LazyData": "true",
  "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev",
  "Repository": "https://jonasrieger.r-universe.dev",
  "Date/Publication": "2026-02-16 11:18:30 UTC",
  "RemoteUrl": "https://github.com/jonasrieger/ldaprototype",
  "RemoteRef": "HEAD",
  "RemoteSha": "367585388359a36264dd07028e398eaf78bd8aed",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-17 08:31:39 UTC",
    "User": "root"
  },
  "Author": "Jonas Rieger [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-0007-4478>)",
  "Maintainer": "Jonas Rieger <jonas.rieger@tu-dortmund.de>",
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  "_user": "jonasrieger",
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  "_published": "2026-06-02T17:15:31.279Z",
  "_distro": "noble",
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  "_commit": {
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    "author": "JonasRieger <jonas.rieger@tu-dortmund.de>",
    "committer": "JonasRieger <jonas.rieger@tu-dortmund.de>",
    "message": "formal stuff\n",
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    "login": "jonasrieger",
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    "twitter": "@Rieger94",
    "description": "Statistician | Data Scientist\nin NLP",
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  "_usedby": 1,
  "_updates": [
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      "n": 4
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  "_topics": [
    "latent-dirichlet-allocation",
    "lda",
    "model-selection",
    "modelselection",
    "reliability",
    "text-mining",
    "textdata",
    "topic-model",
    "topic-models",
    "topic-similarities",
    "topicmodeling",
    "topicmodelling"
  ],
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    "name": "Jonas Rieger",
    "description": "Statistician | Data Scientist\r\nin NLP"
  },
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  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
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    "extra/ldaPrototype.html",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
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  "_realowner": "jonasrieger",
  "_cranurl": true,
  "_releases": [
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      "version": "0.1.1",
      "date": "2020-01-10"
    },
    {
      "version": "0.2.0",
      "date": "2020-07-16"
    },
    {
      "version": "0.3.0",
      "date": "2020-12-02"
    },
    {
      "version": "0.3.1",
      "date": "2021-09-02"
    },
    {
      "version": "0.3.2",
      "date": "2026-02-16"
    }
  ],
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    "as.LDA",
    "as.LDABatch",
    "as.LDARep",
    "cosineTopics",
    "dendTopics",
    "disparitySum",
    "getAlpha",
    "getAssignments",
    "getConsideredWords",
    "getDocument_expects",
    "getDocument_sums",
    "getEstimators",
    "getEta",
    "getID",
    "getJob",
    "getK",
    "getLDA",
    "getLog.likelihoods",
    "getMergedTopics",
    "getNum.iterations",
    "getParam",
    "getPrototype",
    "getPrototypeID",
    "getRegistry",
    "getRelevantWords",
    "getSCLOP",
    "getSimilarity",
    "getTopics",
    "is.LDA",
    "is.LDABatch",
    "is.LDARep",
    "jaccardTopics",
    "jsTopics",
    "LDA",
    "LDABatch",
    "LDAPrototype",
    "LDARep",
    "mergeBatchTopics",
    "mergeRepTopics",
    "mergeTopics",
    "pruneSCLOP",
    "pruning.par",
    "rboTopics",
    "SCLOP",
    "SCLOP.pairwise",
    "setFileDir"
  ],
  "_datasets": [
    {
      "name": "reuters_docs",
      "title": "A Snippet of the Reuters Dataset",
      "object": "reuters_docs",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "reuters_vocab",
      "title": "A Snippet of the Reuters Dataset",
      "object": "reuters_vocab",
      "class": [
        "character"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "ldaPrototype-package",
      "title": "ldaPrototype: Prototype of Multiple Latent Dirichlet Allocation Runs",
      "topics": [
        "ldaPrototype-package",
        "ldaPrototype"
      ]
    },
    {
      "page": "as.LDABatch",
      "title": "LDABatch Constructor",
      "concept": [
        "batch functions",
        "constructor functions"
      ],
      "topics": [
        "as.LDABatch",
        "is.LDABatch"
      ]
    },
    {
      "page": "as.LDARep",
      "title": "LDARep Constructor",
      "concept": [
        "constructor functions",
        "replication functions"
      ],
      "topics": [
        "as.LDARep",
        "as.LDARep.default",
        "as.LDARep.LDARep",
        "is.LDARep"
      ]
    },
    {
      "page": "cosineTopics",
      "title": "Pairwise Cosine Similarities",
      "concept": [
        "TopicSimilarity functions"
      ],
      "topics": [
        "cosineTopics"
      ]
    },
    {
      "page": "dendTopics",
      "title": "Topic Dendrogram",
      "concept": [
        "TopicSimilarity functions",
        "plot functions",
        "workflow functions"
      ],
      "topics": [
        "dendTopics",
        "plot.TopicDendrogram"
      ]
    },
    {
      "page": "getJob",
      "title": "Getter and Setter for LDARep and LDABatch",
      "concept": [
        "batch functions",
        "getter functions",
        "replication functions"
      ],
      "topics": [
        "getID",
        "getJob",
        "getLDA",
        "getRegistry",
        "setFileDir"
      ]
    },
    {
      "page": "getPrototype",
      "title": "Determine the Prototype LDA",
      "concept": [
        "PrototypeLDA functions",
        "shortcut functions",
        "workflow functions"
      ],
      "topics": [
        "getPrototype",
        "getPrototype.default",
        "getPrototype.LDABatch",
        "getPrototype.LDARep"
      ]
    },
    {
      "page": "getSCLOP",
      "title": "Getter for PrototypeLDA",
      "concept": [
        "PrototypeLDA functions",
        "getter functions"
      ],
      "topics": [
        "getConsideredWords.PrototypeLDA",
        "getID.PrototypeLDA",
        "getJob.PrototypeLDA",
        "getLDA.PrototypeLDA",
        "getMergedTopics",
        "getParam.PrototypeLDA",
        "getPrototypeID",
        "getRelevantWords.PrototypeLDA",
        "getSCLOP",
        "getSimilarity.PrototypeLDA"
      ]
    },
    {
      "page": "getSimilarity",
      "title": "Getter for TopicSimilarity",
      "concept": [
        "TopicSimilarity functions",
        "getter functions"
      ],
      "topics": [
        "getConsideredWords",
        "getParam.TopicSimilarity",
        "getRelevantWords",
        "getSimilarity"
      ]
    },
    {
      "page": "getTopics",
      "title": "Getter for LDA",
      "concept": [
        "LDA functions",
        "getter functions"
      ],
      "topics": [
        "getAlpha",
        "getAssignments",
        "getDocument_expects",
        "getDocument_sums",
        "getEstimators",
        "getEta",
        "getK",
        "getLog.likelihoods",
        "getNum.iterations",
        "getParam",
        "getTopics"
      ]
    },
    {
      "page": "jaccardTopics",
      "title": "Pairwise Jaccard Coefficients",
      "concept": [
        "TopicSimilarity functions",
        "workflow functions"
      ],
      "topics": [
        "jaccardTopics"
      ]
    },
    {
      "page": "jsTopics",
      "title": "Pairwise Jensen-Shannon Similarities (Divergences)",
      "concept": [
        "TopicSimilarity functions"
      ],
      "topics": [
        "jsTopics"
      ]
    },
    {
      "page": "LDA",
      "title": "LDA Object",
      "concept": [
        "LDA functions",
        "constructor functions"
      ],
      "topics": [
        "as.LDA",
        "is.LDA",
        "LDA"
      ]
    },
    {
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      "title": "LDA Replications on a Batch System",
      "concept": [
        "LDA functions",
        "batch functions"
      ],
      "topics": [
        "LDABatch"
      ]
    },
    {
      "page": "LDAPrototype",
      "title": "Determine the Prototype LDA",
      "concept": [
        "PrototypeLDA functions",
        "replication functions",
        "shortcut functions"
      ],
      "topics": [
        "LDAPrototype"
      ]
    },
    {
      "page": "LDARep",
      "title": "LDA Replications",
      "concept": [
        "LDA functions",
        "replication functions",
        "workflow functions"
      ],
      "topics": [
        "LDARep"
      ]
    },
    {
      "page": "mergeBatchTopics",
      "title": "Merge LDA Topic Matrices",
      "concept": [
        "batch functions",
        "merge functions"
      ],
      "topics": [
        "mergeBatchTopics",
        "mergeBatchTopics.default",
        "mergeBatchTopics.LDABatch"
      ]
    },
    {
      "page": "mergeRepTopics",
      "title": "Merge LDA Topic Matrices",
      "concept": [
        "merge functions",
        "replication functions"
      ],
      "topics": [
        "mergeRepTopics",
        "mergeRepTopics.default",
        "mergeRepTopics.LDARep"
      ]
    },
    {
      "page": "mergeTopics",
      "title": "Merge LDA Topic Matrices",
      "concept": [
        "merge functions",
        "workflow functions"
      ],
      "topics": [
        "mergeTopics"
      ]
    },
    {
      "page": "pruneSCLOP",
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        "plot functions"
      ],
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        "plot.PruningSCLOP",
        "pruneSCLOP",
        "pruning.par"
      ]
    },
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      "title": "Pairwise RBO Similarities",
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        "TopicSimilarity functions"
      ],
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        "rboTopics"
      ]
    },
    {
      "page": "reuters",
      "title": "A Snippet of the Reuters Dataset",
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        "reuters",
        "reuters_docs",
        "reuters_vocab",
        "vocab"
      ]
    },
    {
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      "title": "Similarity/Stability of multiple sets of Objects using Clustering with Local Pruning",
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        "SCLOP functions",
        "workflow functions"
      ],
      "topics": [
        "disparitySum",
        "SCLOP",
        "SCLOP.pairwise"
      ]
    }
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}