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  "Maintainer": "Christopher Paciorek <paciorek@stat.berkeley.edu>",
  "Authors@R": "person(\"Christopher\", \"Paciorek\", , \"paciorek@stat.berkeley.edu\", role = c(\"aut\", \"cre\"))",
  "Title": "Approximate Gaussian Processes Using the Fourier Basis",
  "Description": "Routines for creating, manipulating, and performing\nBayesian inference about Gaussian processes in one and two\ndimensions using the Fourier basis approximation: simulation\nand plotting of processes, calculation of coefficient\nvariances, calculation of process density, coefficient\nproposals (for use in MCMC).  It uses R environments to store\nGP objects as references/pointers.",
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  "URL": "https://doi.org/10.18637/jss.v019.i02",
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  "Author": "Christopher Paciorek [aut, cre]",
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    "new.mapping",
    "propose.coeff",
    "rdist.earth",
    "simulate",
    "updateprocess",
    "xy2unit",
    "zero.coeff"
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      "page": "add.blocks.gp",
      "title": "Adds coefficient block structure to a spectral GP object",
      "topics": [
        "add.blocks.gp"
      ]
    },
    {
      "page": "calc.variances.gp",
      "title": "Calculates prior variances of coefficients in a spectral GP object",
      "topics": [
        "calc.variances.gp"
      ]
    },
    {
      "page": "change.param.gp",
      "title": "Changes correlation function parameter values of a spectral GP object",
      "topics": [
        "change.param.gp"
      ]
    },
    {
      "page": "copy.gp",
      "title": "Copy a spectral GP object.",
      "topics": [
        "copy.gp"
      ]
    },
    {
      "page": "expand.gpgrid.gp",
      "title": "Calculate grid locations for a spectral GP object.",
      "topics": [
        "expand.gpgrid.gp"
      ]
    },
    {
      "page": "getgrid.gp",
      "title": "Calculates the gridpoints in a spectral GP object",
      "topics": [
        "getgrid.gp"
      ]
    },
    {
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      "title": "Samples new coeffients via Gibbs sampling in a spectral GP object.",
      "topics": [
        "Gibbs.sample.coeff.gp"
      ]
    },
    {
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      "title": "Create a new GP object",
      "topics": [
        "gp"
      ]
    },
    {
      "page": "Hastings.coeff.gp",
      "title": "Calculates Hastings value of coefficients",
      "topics": [
        "Hastings.coeff.gp"
      ]
    },
    {
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      "topics": [
        "image_plot"
      ]
    },
    {
      "page": "is.gp",
      "title": "Test if object is a spectral GP",
      "topics": [
        "is.gp"
      ]
    },
    {
      "page": "lines.gp",
      "title": "Add a line plot for a one-dimensional process based on a spectral GP object",
      "topics": [
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      ]
    },
    {
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      "topics": [
        "logdensity.gp"
      ]
    },
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      "topics": [
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      ]
    },
    {
      "page": "matern.specdens",
      "title": "Matern correlation spectral density function",
      "topics": [
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      ]
    },
    {
      "page": "names.gp",
      "title": "The names of the elements of a GP object",
      "topics": [
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      ]
    },
    {
      "page": "new.mapping",
      "title": "Map arbitrary locations to gridpoints of spectral GP object",
      "topics": [
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      ]
    },
    {
      "page": "plot.gp",
      "title": "Plot a process based on a spectral GP object",
      "topics": [
        "plot.gp"
      ]
    },
    {
      "page": "points.gp",
      "title": "Add points for a one-dimensional process based on a spectral GP object",
      "topics": [
        "points.gp"
      ]
    },
    {
      "page": "predict.gp",
      "title": "Prediction from a spectral GP object",
      "topics": [
        "predict.gp"
      ]
    },
    {
      "page": "print.gp",
      "title": "Spectral GP default print statement",
      "topics": [
        "print.gp"
      ]
    },
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      "topics": [
        "propose.coeff.gp"
      ]
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      "title": "Great circle distance matrix",
      "topics": [
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      ]
    },
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      "title": "Simulates a process realization from a spectral GP object",
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        "simulate.gp"
      ]
    },
    {
      "page": "spectralGP",
      "title": "spectralGP - tools for specifying Gaussian processes using the computationally efficient Fourier basis",
      "topics": [
        "spectralGP"
      ]
    },
    {
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      "title": "spectralGP generic functions",
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        "calc.variances",
        "change.param",
        "copy",
        "expand.gpgrid",
        "getgrid",
        "Gibbs.sample.coeff",
        "Hastings.coeff",
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        "propose.coeff",
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