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  "Package": "MDFS",
  "Title": "MultiDimensional Feature Selection",
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  "Date": "2024-12-11",
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  "URL": "https://www.mdfs.it/",
  "Description": "Functions for MultiDimensional Feature Selection (MDFS):\ncalculating multidimensional information gains, scoring\nvariables, finding important variables, plotting selection\nresults. This package includes an optional CUDA implementation\nthat speeds up information gain calculation using NVIDIA\nGPGPUs. R. Piliszek et al. (2019) <doi:10.32614/RJ-2019-019>.",
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  "Author": "Radosław Piliszek [aut, cre], Krzysztof Mnich [aut], Paweł\nTabaszewski [aut], Szymon Migacz [aut], Andrzej Sułecki [aut],\nWitold Remigiusz Rudnicki [aut]",
  "Maintainer": "Radosław Piliszek <radek@piliszek.it>",
  "Repository": "https://cran.r-universe.dev",
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    "extra/citation.json",
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    "ComputeInterestingTuples",
    "ComputeInterestingTuplesDiscrete",
    "ComputeMaxInfoGains",
    "ComputeMaxInfoGainsDiscrete",
    "ComputePValue",
    "Discretize",
    "GenContrastVariables",
    "GetRange",
    "MDFS",
    "mdfs_omp_set_num_threads",
    "RelevantVariables"
  ],
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      "name": "madelon",
      "title": "An artificial dataset called MADELON",
      "object": "madelon",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "AddContrastVariables",
      "title": "Add contrast variables to data",
      "topics": [
        "AddContrastVariables"
      ]
    },
    {
      "page": "as.data.frame.MDFS",
      "title": "as.data.frame S3 method implementation for MDFS",
      "topics": [
        "as.data.frame.MDFS"
      ]
    },
    {
      "page": "ComputeInterestingTuples",
      "title": "Interesting tuples",
      "topics": [
        "ComputeInterestingTuples"
      ]
    },
    {
      "page": "ComputeInterestingTuplesDiscrete",
      "title": "Interesting tuples (discrete)",
      "topics": [
        "ComputeInterestingTuplesDiscrete"
      ]
    },
    {
      "page": "ComputeMaxInfoGains",
      "title": "Max information gains",
      "topics": [
        "ComputeMaxInfoGains"
      ]
    },
    {
      "page": "ComputeMaxInfoGainsDiscrete",
      "title": "Max information gains (discrete)",
      "topics": [
        "ComputeMaxInfoGainsDiscrete"
      ]
    },
    {
      "page": "ComputePValue",
      "title": "Compute p-values from information gains and return MDFS",
      "topics": [
        "ComputePValue"
      ]
    },
    {
      "page": "Discretize",
      "title": "Discretize variable on demand",
      "topics": [
        "Discretize"
      ]
    },
    {
      "page": "GenContrastVariables",
      "title": "Generate contrast variables from data",
      "topics": [
        "GenContrastVariables"
      ]
    },
    {
      "page": "GetRange",
      "title": "Get the recommended range for multiple discretisations",
      "topics": [
        "GetRange"
      ]
    },
    {
      "page": "madelon",
      "title": "An artificial dataset called MADELON",
      "topics": [
        "madelon"
      ]
    },
    {
      "page": "MDFS",
      "title": "Run end-to-end MDFS",
      "topics": [
        "MDFS"
      ]
    },
    {
      "page": "mdfs_omp_set_num_threads",
      "title": "Call omp_set_num_threads",
      "topics": [
        "mdfs_omp_set_num_threads"
      ]
    },
    {
      "page": "plot.MDFS",
      "title": "Plot MDFS details",
      "topics": [
        "plot.MDFS"
      ]
    },
    {
      "page": "RelevantVariables",
      "title": "Find indices of relevant variables",
      "topics": [
        "RelevantVariables"
      ]
    },
    {
      "page": "RelevantVariables.MDFS",
      "title": "Find indices of relevant variables from MDFS",
      "topics": [
        "RelevantVariables.MDFS"
      ]
    }
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