{
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  "Package": "nuggets",
  "Title": "Extensible Framework for Data Pattern Exploration",
  "Version": "2.2.0",
  "Date": "2026-03-11",
  "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": "A framework for systematic exploration of association\nrules (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\nalso be supplied to guide custom pattern searches. Supports\nboth crisp (Boolean) and fuzzy data. Generates candidate\nconditions expressed as elementary conjunctions, evaluates them\non a dataset, and inspects the induced sub-data for\nstatistical, logical, or structural properties such as\nassociations, correlations, or contrasts. Includes methods for\nvisualization of logical structures and supports interactive\nexploration through integrated Shiny applications.",
  "URL": "https://beerda.github.io/nuggets/,\nhttps://github.com/beerda/nuggets/",
  "BugReports": "https://github.com/beerda/nuggets/issues/",
  "License": "GPL (>= 3)",
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  "Repository": "https://beerda.r-universe.dev",
  "Date/Publication": "2026-05-15 08:30:48 UTC",
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  "Author": "Michal Burda [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-4182-4407>)",
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    "fire",
    "format_condition",
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    "is_almost_constant",
    "is_condition",
    "is_degree",
    "is_logicalish",
    "is_nugget",
    "is_subset",
    "nugget",
    "parse_condition",
    "partition",
    "plot_contingency",
    "remove_almost_constant",
    "remove_ill_conditions",
    "shorten_condition",
    "values",
    "var_grid",
    "var_names",
    "which_antichain"
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      "title": "Add additional interest measures for association rules",
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        "add_interest.associations"
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    },
    {
      "page": "association_matrix",
      "title": "Create an association matrix from a nugget of flavour 'associations'.",
      "topics": [
        "association_matrix"
      ]
    },
    {
      "page": "bound_range",
      "title": "Bound a range of numeric values",
      "topics": [
        "bound_range"
      ]
    },
    {
      "page": "cluster_associations",
      "title": "Cluster association rules",
      "topics": [
        "cluster_associations"
      ]
    },
    {
      "page": "dig",
      "title": "Search for patterns of a custom type",
      "topics": [
        "dig"
      ]
    },
    {
      "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",
      "title": "Search for conditions that yield in statistically significant one-sample test in selected variables.",
      "topics": [
        "dig_baseline_contrasts"
      ]
    },
    {
      "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"
      ]
    },
    {
      "page": "dig_correlations",
      "title": "Search for conditional correlations",
      "topics": [
        "dig_correlations"
      ]
    },
    {
      "page": "dig_grid",
      "title": "Search for grid-based rules",
      "topics": [
        "dig_grid"
      ]
    },
    {
      "page": "dig_paired_baseline_contrasts",
      "title": "Search for conditions that provide significant differences between paired variables",
      "topics": [
        "dig_paired_baseline_contrasts"
      ]
    },
    {
      "page": "dig_tautologies",
      "title": "Find tautologies or \"almost tautologies\" in a dataset",
      "topics": [
        "dig_tautologies"
      ]
    },
    {
      "page": "explore.associations",
      "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"
      ]
    },
    {
      "page": "explore.complement_contrasts",
      "title": "Show interactive application to explore complement contrasts",
      "topics": [
        "explore.complement_contrasts"
      ]
    },
    {
      "page": "explore.correlations",
      "title": "Show interactive application to explore conditional correlations",
      "topics": [
        "explore.correlations"
      ]
    },
    {
      "page": "explore.paired_baseline_contrasts",
      "title": "Show interactive application to explore paired baseline contrasts",
      "topics": [
        "explore.paired_baseline_contrasts"
      ]
    },
    {
      "page": "fire",
      "title": "Obtain truth-degrees of conditions",
      "topics": [
        "fire"
      ]
    },
    {
      "page": "format_condition",
      "title": "Format a vector of predicates into a condition string",
      "topics": [
        "format_condition"
      ]
    },
    {
      "page": "geom_diamond",
      "title": "Geom for drawing diamond plots of lattice structures",
      "topics": [
        "geom_diamond"
      ]
    },
    {
      "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"
      ]
    },
    {
      "page": "is_nugget",
      "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"
      ]
    },
    {
      "page": "parse_condition",
      "title": "Convert condition strings into lists of predicate vectors",
      "topics": [
        "parse_condition"
      ]
    },
    {
      "page": "partition",
      "title": "Convert columns of a data frame to Boolean or fuzzy sets (triangular, trapezoidal, or raised-cosine)",
      "topics": [
        "partition"
      ]
    },
    {
      "page": "plot_contingency",
      "title": "Plot a mosaic plot for a contingency table",
      "topics": [
        "plot_contingency",
        "plot_contingency.data.frame",
        "plot_contingency.default"
      ]
    },
    {
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      "topics": [
        "remove_almost_constant"
      ]
    },
    {
      "page": "remove_ill_conditions",
      "title": "Remove invalid conditions from a list",
      "topics": [
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      ]
    },
    {
      "page": "shorten_condition",
      "title": "Shorten predicates within conditions",
      "topics": [
        "shorten_condition"
      ]
    },
    {
      "page": "values",
      "title": "Extract values from predicate names",
      "topics": [
        "values"
      ]
    },
    {
      "page": "var_grid",
      "title": "Create a tibble of combinations of selected column names",
      "topics": [
        "var_grid"
      ]
    },
    {
      "page": "var_names",
      "title": "Extract variable names from predicate names",
      "topics": [
        "var_names"
      ]
    },
    {
      "page": "which_antichain",
      "title": "Return indices of first elements of the list, which are incomparable with preceding elements.",
      "topics": [
        "which_antichain"
      ]
    }
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