{
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  "Package": "nuggets",
  "Title": "Fast and Extensible Pattern Discovery in Tabular Data",
  "Version": "2.2.4",
  "Date": "2026-09-11",
  "Authors@R": "person(given = \"Michal\",\nfamily = \"Burda\",\nrole = c(\"aut\", \"cre\"),\nemail = \"michal.burda@osu.cz\",\ncomment = c(ORCID = \"0000-0002-4182-4407\"))",
  "Maintainer": "Michal Burda <michal.burda@osu.cz>",
  "Description": "Fast and extensible framework for discovering interesting\npatterns in tabular data. The package searches combinations of\nfuzzy or Boolean predicates and evaluates the resulting\nsubgroups using statistical, logical, or structural measures.\nIt supports a broad range of pattern-discovery tasks, including\nassociation rules (Agrawal et al., 1994,\n<https://www.vldb.org/conf/1994/P487.PDF>), contrast patterns\n(Chen, 2022, <doi:10.48550/arXiv.2209.13556>), emerging\npatterns (Dong et al., 1999, <doi:10.1145/312129.312191>),\nsubgroup discovery (Atzmueller, 2015, <doi:10.1002/widm.1144>),\nand conditional correlations (Hájek, 1978,\n<doi:10.1007/978-3-642-66943-9>). User-defined functions may be\nsupplied to guide custom pattern searches, making the framework\napplicable beyond traditional association-rule mining.\nEfficient implementation enables pattern discovery on large and\ndense data sets. Package includes methods for visualization and\nsupports interactive exploration through integrated Shiny\napplications.",
  "URL": "https://beerda.github.io/nuggets/,\nhttps://github.com/beerda/nuggets",
  "BugReports": "https://github.com/beerda/nuggets/issues",
  "License": "GPL (>= 3)",
  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
  "Language": "en-US",
  "SystemRequirements": "C++17",
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  "Repository": "https://beerda.r-universe.dev",
  "Date/Publication": "2026-10-06 11:01:59 UTC",
  "RemoteUrl": "https://github.com/beerda/nuggets",
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  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-10-07 09:17:05 UTC",
    "User": "root"
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  "Author": "Michal Burda [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-4182-4407>)",
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    "is_condition",
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    "is_nugget",
    "is_subset",
    "nugget",
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    "remove_almost_constant",
    "remove_ill_conditions",
    "shorten_condition",
    "values",
    "var_grid",
    "var_names",
    "which_antichain"
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        "add_interest.associations"
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      "page": "association_matrix",
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      "title": "Bound a range of numeric values",
      "topics": [
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      ]
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    {
      "page": "cluster_associations",
      "title": "Cluster association rules",
      "topics": [
        "cluster_associations"
      ]
    },
    {
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      "topics": [
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      ]
    },
    {
      "page": "dig_ancestors",
      "title": "Dig ancestors of an association rule",
      "topics": [
        "dig_ancestors",
        "dig_ancestors.associations"
      ]
    },
    {
      "page": "dig_associations",
      "title": "Search for association rules",
      "topics": [
        "dig_associations"
      ]
    },
    {
      "page": "dig_baseline_contrasts",
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      "topics": [
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    },
    {
      "page": "dig_complement_contrasts",
      "title": "Search for conditions that provide significant differences in selected variables to the rest of the data table",
      "topics": [
        "dig_complement_contrasts"
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    },
    {
      "page": "dig_correlations",
      "title": "Search for conditional correlations",
      "topics": [
        "dig_correlations"
      ]
    },
    {
      "page": "dig_grid",
      "title": "Search for grid-based rules",
      "topics": [
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    },
    {
      "page": "dig_paired_baseline_contrasts",
      "title": "Search for conditions that provide significant differences between paired variables",
      "topics": [
        "dig_paired_baseline_contrasts"
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    },
    {
      "page": "dig_tautologies",
      "title": "Find tautologies or \"almost tautologies\" in a dataset",
      "topics": [
        "dig_tautologies"
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      "title": "Show interactive application to explore association rules",
      "topics": [
        "explore.associations"
      ]
    },
    {
      "page": "explore.baseline_contrasts",
      "title": "Show interactive application to explore baseline contrasts",
      "topics": [
        "explore.baseline_contrasts"
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    },
    {
      "page": "explore.complement_contrasts",
      "title": "Show interactive application to explore complement contrasts",
      "topics": [
        "explore.complement_contrasts"
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    },
    {
      "page": "explore.correlations",
      "title": "Show interactive application to explore conditional correlations",
      "topics": [
        "explore.correlations"
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    },
    {
      "page": "explore.paired_baseline_contrasts",
      "title": "Show interactive application to explore paired baseline contrasts",
      "topics": [
        "explore.paired_baseline_contrasts"
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    },
    {
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      "title": "Obtain truth-degrees of conditions",
      "topics": [
        "fire"
      ]
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      "title": "Format a vector of predicates into a condition string",
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      ]
    },
    {
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      "title": "Geom for drawing diamond plots of lattice structures",
      "topics": [
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      ]
    },
    {
      "page": "is_almost_constant",
      "title": "Test whether a vector is almost constant",
      "topics": [
        "is_almost_constant"
      ]
    },
    {
      "page": "is_condition",
      "title": "Check whether a list of character vectors contains valid conditions",
      "topics": [
        "is_condition"
      ]
    },
    {
      "page": "is_degree",
      "title": "Test whether an object contains numeric values from the interval [0,1]",
      "topics": [
        "is_degree"
      ]
    },
    {
      "page": "is_logicalish",
      "title": "Check if an object is logical or numeric with only 0s and 1s",
      "topics": [
        "is_logicalish"
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    },
    {
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      "title": "Test whether an object is a nugget",
      "topics": [
        "is_nugget"
      ]
    },
    {
      "page": "is_subset",
      "title": "Determine whether one vector is a subset of another",
      "topics": [
        "is_subset"
      ]
    },
    {
      "page": "nugget",
      "title": "Create a nugget object of a given flavour",
      "topics": [
        "nugget"
      ]
    },
    {
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      "title": "Convert condition strings into lists of predicate vectors",
      "topics": [
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      ]
    },
    {
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