Package index
Lumping Functions
User-friendly wrappers to lump a vector of factors. These functions are the main interface for users of the package.
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lump_hierarchical() - Perform lumping on a hierarchical nominal variable
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lump_hierarchical_supervised() - Perform supervised lumping on a hierarchical nominal variable
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lump_nominal() - Perform lumping on a nominal variable
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lump_nominal_heuristic() - Approximate the lumping on a nominal variable
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lump_nominal_supervised() - Perform supervised lumping on a nominal variable
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lump_ordinal() - Perform lumping on an ordinal variable
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lump_ordinal_supervised() - Perform supervised lumping on an ordinal variable
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adjacency_from_edge_list() - Transform the edge list representation of a graph into an adjacency matrix
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threshold_diagnostic() - Visually help decide the correct threshold parameter
Optimizers
Underlying functions that compute the optimal lumping. Used internally by the lumping functions, but can be used by the user to get additional information.
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maximum_mutual_information_hierarchical() - Maximum information preservable by hierarchical lumping
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maximum_mutual_information_hierarchical_supervised() - Maximum information preservable by supervised hierarchical lumping
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maximum_mutual_information_nominal() - Maximum information preservable by nominal lumping
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maximum_mutual_information_nominal_heuristic() - Approximate maximum information preservable by nominal lumping
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maximum_mutual_information_nominal_supervised() - Maximum information preservable by supervised nominal lumping
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maximum_mutual_information_nominal_supervised_continuous() - Maximum information preservable by supervised continuous nominal lumping
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maximum_mutual_information_ordinal() - Maximum information preservable by ordinal lumping
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maximum_mutual_information_ordinal_supervised() - Maximum information preservable by supervised ordinal lumping
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maximum_mutual_information_ordinal_supervised_continuous() - Maximum information preservable by supervised continuous ordinal lumping