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  "Title": "Mixed-pair mutual information estimators",
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  "Author": "Chris Pardy",
  "Maintainer": "Chris Pardy <cpardy@unsw.edu.au>",
  "Description": "Uses a kernel smoothing approach to calculate Mutual\nInformation for comparisons between all types of variables\nincluding continuous vs continuous, continuous vs discrete and\ndiscrete vs discrete. Uses a nonparametric bias correction\ngiving Bias Corrected Mutual Information (BCMI). Implemented\nefficiently in Fortran 95 with OpenMP and suited to large\ngenomic datasets.",
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        "array"
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        "array"
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      "tojson": true
    }
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      "title": "Calculate BCMI between a set of continuous variables",
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        "cminjk.pw"
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      ]
    },
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      "page": "disc",
      "title": "A group of simulated categorical (discrete) variables",
      "topics": [
        "disc"
      ]
    },
    {
      "page": "dmi",
      "title": "Calculate BCMI for categorical (discrete) data",
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        "dmi.pw",
        "dminjk",
        "dminjk.pw"
      ]
    },
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        "mmi.pw",
        "mminjk",
        "mminjk.pw"
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      ]
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