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  "Title": "Composite Grid Gaussian Processes",
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  "Description": "Run computer experiments using the adaptive composite grid\nalgorithm with a Gaussian process model. The algorithm works\nbest when running an experiment that can evaluate thousands of\npoints from a deterministic computer simulation. This package\nis an implementation of a forthcoming paper by Plumlee,\nErickson, Ankenman, et al. For a preprint of the paper, contact\nthe maintainer of this package.",
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    "CGGP_internal_calcMSEde",
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    "CGGP_internal_calcpwanddpw",
    "CGGP_internal_CorrMatCauchy",
    "CGGP_internal_CorrMatCauchySQ",
    "CGGP_internal_CorrMatCauchySQT",
    "CGGP_internal_CorrMatGaussian",
    "CGGP_internal_CorrMatMatern32",
    "CGGP_internal_CorrMatMatern52",
    "CGGP_internal_CorrMatPowerExp",
    "CGGP_internal_CorrMatWendland0",
    "CGGP_internal_CorrMatWendland1",
    "CGGP_internal_CorrMatWendland2",
    "CGGP_internal_gneglogpost",
    "CGGP_internal_MSEpredcalc",
    "CGGP_internal_neglogpost",
    "CGGP_internal_set_corr",
    "CGGPappend",
    "CGGPcreate",
    "CGGPfit",
    "CGGPplotblocks",
    "CGGPplotblockselection",
    "CGGPplotcorr",
    "CGGPplotheat",
    "CGGPplothist",
    "CGGPplotsamplesneglogpost",
    "CGGPplotslice",
    "CGGPplottheta",
    "CGGPplotvariogram",
    "CGGPpred",
    "CGGPvalplot",
    "CGGPvalstats",
    "rcpp_fastmatclcr",
    "rcpp_fastmatclcranddclcr",
    "rcpp_gkronDBS",
    "rcpp_kronDBS",
    "valplot",
    "valstats"
  ],
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    {
      "page": "CGGP",
      "title": "CGGP: A package for running sparse grid computer experiments",
      "topics": [
        "CGGP-package",
        "CGGP"
      ]
    },
    {
      "page": "CGGP_internal_calcMSE",
      "title": "Calculate MSE over single dimension",
      "topics": [
        "CGGP_internal_calcMSE"
      ]
    },
    {
      "page": "CGGP_internal_calcMSEde",
      "title": "Calculate MSE over blocks",
      "topics": [
        "CGGP_internal_calcMSEde"
      ]
    },
    {
      "page": "CGGP_internal_calcpw",
      "title": "Calculate predictive weights for CGGP",
      "topics": [
        "CGGP_internal_calcpw"
      ]
    },
    {
      "page": "CGGP_internal_calcpwanddpw",
      "title": "Calculate derivative of pw",
      "topics": [
        "CGGP_internal_calcpwanddpw"
      ]
    },
    {
      "page": "CGGP_internal_CorrMatCauchy",
      "title": "Cauchy correlation function",
      "concept": [
        "correlation functions"
      ],
      "topics": [
        "CGGP_internal_CorrMatCauchy"
      ]
    },
    {
      "page": "CGGP_internal_CorrMatCauchySQ",
      "title": "CauchySQ correlation function",
      "concept": [
        "correlation functions"
      ],
      "topics": [
        "CGGP_internal_CorrMatCauchySQ"
      ]
    },
    {
      "page": "CGGP_internal_CorrMatCauchySQT",
      "title": "CauchySQT correlation function",
      "concept": [
        "correlation functions"
      ],
      "topics": [
        "CGGP_internal_CorrMatCauchySQT"
      ]
    },
    {
      "page": "CGGP_internal_CorrMatGaussian",
      "title": "Gaussian correlation function",
      "concept": [
        "correlation functions"
      ],
      "topics": [
        "CGGP_internal_CorrMatGaussian"
      ]
    },
    {
      "page": "CGGP_internal_CorrMatMatern32",
      "title": "Matern 3/2 correlation function",
      "concept": [
        "correlation functions"
      ],
      "topics": [
        "CGGP_internal_CorrMatMatern32"
      ]
    },
    {
      "page": "CGGP_internal_CorrMatMatern52",
      "title": "Matern 5/2 correlation function",
      "concept": [
        "correlation functions"
      ],
      "topics": [
        "CGGP_internal_CorrMatMatern52"
      ]
    },
    {
      "page": "CGGP_internal_CorrMatPowerExp",
      "title": "Power exponential correlation function",
      "concept": [
        "correlation functions"
      ],
      "topics": [
        "CGGP_internal_CorrMatPowerExp"
      ]
    },
    {
      "page": "CGGP_internal_CorrMatWendland0",
      "title": "Wendland0 (Triangle) correlation function",
      "concept": [
        "correlation functions"
      ],
      "topics": [
        "CGGP_internal_CorrMatWendland0"
      ]
    },
    {
      "page": "CGGP_internal_CorrMatWendland1",
      "title": "Wendland1 1 correlation function",
      "concept": [
        "correlation functions"
      ],
      "topics": [
        "CGGP_internal_CorrMatWendland1"
      ]
    },
    {
      "page": "CGGP_internal_CorrMatWendland2",
      "title": "Wendland2 2 correlation function",
      "concept": [
        "correlation functions"
      ],
      "topics": [
        "CGGP_internal_CorrMatWendland2"
      ]
    },
    {
      "page": "CGGP_internal_gneglogpost",
      "title": "Gradient of negative log likelihood posterior",
      "topics": [
        "CGGP_internal_gneglogpost"
      ]
    },
    {
      "page": "CGGP_internal_MSEpredcalc",
      "title": "Calculate MSE prediction along a single dimension",
      "topics": [
        "CGGP_internal_MSEpredcalc"
      ]
    },
    {
      "page": "CGGP_internal_neglogpost",
      "title": "Calculate negative log posterior",
      "topics": [
        "CGGP_internal_neglogpost"
      ]
    },
    {
      "page": "CGGP_internal_set_corr",
      "title": "Set correlation function of CGGP object",
      "topics": [
        "CGGP_internal_set_corr"
      ]
    },
    {
      "page": "CGGPappend",
      "title": "Add points to CGGP",
      "concept": [
        "CGGP core functions"
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      "topics": [
        "CGGPappend"
      ]
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      "concept": [
        "CGGP core functions"
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        "CGGPcreate"
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      "title": "Update CGGP model given data",
      "concept": [
        "CGGP core functions"
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        "CGGPfit"
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      "title": "CGGP block plot",
      "concept": [
        "CGGP plot functions"
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        "CGGPplotblocks"
      ]
    },
    {
      "page": "CGGPplotblockselection",
      "title": "Plot CGGP block selection over time",
      "topics": [
        "CGGPplotblockselection"
      ]
    },
    {
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      "title": "Plot correlation samples",
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        "CGGP plot functions"
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      "title": "Heatmap of SG design depth",
      "concept": [
        "CGGP plot functions"
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        "CGGPplotheat"
      ]
    },
    {
      "page": "CGGPplothist",
      "title": "Histogram of measurements at each design depth of each input dimension",
      "concept": [
        "CGGP plot functions"
      ],
      "topics": [
        "CGGPplothist"
      ]
    },
    {
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      "concept": [
        "CGGP plot functions"
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        "CGGP plot functions"
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    {
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      "concept": [
        "CGGP plot functions"
      ],
      "topics": [
        "CGGPplottheta"
      ]
    },
    {
      "page": "CGGPplotvariogram",
      "title": "Plot something similar to a semivariogram",
      "concept": [
        "CGGP plot functions"
      ],
      "topics": [
        "CGGPplotvariogram"
      ]
    },
    {
      "page": "CGGPvalplot",
      "title": "Plot validation prediction errors for CGGP object",
      "concept": [
        "CGGP plot functions"
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      "topics": [
        "CGGPvalplot"
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    {
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      "title": "Calculate stats for CGGP prediction on validation data",
      "topics": [
        "CGGPvalstats"
      ]
    },
    {
      "page": "plot.CGGP",
      "title": "S3 plot method for CGGP",
      "topics": [
        "plot.CGGP"
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    },
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      "title": "S3 predict method for CGGP",
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        "predict.CGGP"
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