{
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  "Package": "LogConcDEAD",
  "Title": "Log-Concave Density Estimation in Arbitrary Dimensions",
  "Version": "1.6-12",
  "Date": "2025-03-13",
  "Authors@R": "c(\nperson(\"Madeleine\", \"Cule\", role = \"aut\"),\nperson(\"Robert\", \"Gramacy\", role = \"aut\"),\nperson(\"Richard\", \"Samworth\", role = \"aut\"),\nperson(\"Yining\", \"Chen\", role = c(\"aut\", \"cre\"), email = \"y.chen101@lse.ac.uk\"),\nperson(\"Lutz\", \"Duembgen\", role = \"ctb\", comment = \"helped improve the numerical stability\"),\nperson(\"Vikneswaran\", \"Gopal\", role = \"ctb\", comment = \"proposed the Metropolis-Hastings scheme for draw samples from a log-concave distribution\"),\nperson(\"George\", \"Casella\", role = \"ctb\", comment = \"proposed the Metropolis-Hastings scheme for draw samples from a log-concave distribution\"),\nperson(\"C. Bradford\", \"Barber\", role = \"cph\",\ncomment = \"author of the Qhull library\"),\nperson(\"The Geometry Center\", role = \"cph\"),\nperson(\"Kai\", \"Habel\", role=\"cph\", comment = \"author of the function that imports convex hull computation from Qhull to R\"),\nperson(\"Raoul\", \"Grasman\", role=\"cph\", comment = \"author of the function that imports convex hull computation from Qhull to R\"),\nperson(\"Alexei\", \"Kuntsevich\", role = \"cph\",\ncomment = \"author of the C function for Shor's r algorithm\"),\nperson(\"Franz\", \"Kappel\", role = \"cph\",\ncomment = \"author of the C function for Shor's r algorithm\")\n)",
  "Description": "Software for computing a log-concave (maximum likelihood)\nestimator for independent and identically distributed data in\nany number of dimensions. For a detailed description of the\nmethod see Cule, Samworth and Stewart (2010, Journal of Royal\nStatistical Society Series B,\n<doi:10.1111/j.1467-9868.2010.00753.x>).",
  "License": "GPL (>= 2)",
  "NeedsCompilation": "yes",
  "Author": "Madeleine Cule [aut], Robert Gramacy [aut], Richard Samworth\n[aut], Yining Chen [aut, cre], Lutz Duembgen [ctb] (helped\nimprove the numerical stability), Vikneswaran Gopal [ctb]\n(proposed the Metropolis-Hastings scheme for draw samples from\na log-concave distribution), George Casella [ctb] (proposed the\nMetropolis-Hastings scheme for draw samples from a log-concave\ndistribution), C. Bradford Barber [cph] (author of the Qhull\nlibrary), The Geometry Center [cph], Kai Habel [cph] (author of\nthe function that imports convex hull computation from Qhull to\nR), Raoul Grasman [cph] (author of the function that imports\nconvex hull computation from Qhull to R), Alexei Kuntsevich\n[cph] (author of the C function for Shor's r algorithm), Franz\nKappel [cph] (author of the C function for Shor's r algorithm)",
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  "Date/Publication": "2025-03-13 12:56:39 UTC",
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    "interactive2D",
    "interplcd",
    "interpmarglcd",
    "mlelcd",
    "rlcd",
    "rslcd"
  ],
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    {
      "page": "LogConcDEAD-package",
      "title": "Computes a log-concave (maximum likelihood) estimator for i.i.d. data in any number of dimensions",
      "topics": [
        "LogConcDEAD-package",
        "LogConcDEAD"
      ]
    },
    {
      "page": "cov.LogConcDEAD",
      "title": "Compute the covariance matrix of a log-concave maximum likelihood estimator",
      "topics": [
        "cov.LogConcDEAD"
      ]
    },
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      "page": "dlcd",
      "title": "Evaluation of a log-concave maximum likelihood estimator at a point",
      "topics": [
        "dlcd"
      ]
    },
    {
      "page": "dmarglcd",
      "title": "Evaluate the marginal of multivariate log-concave maximum likelihood estimators at a point",
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        "dmarglcd"
      ]
    },
    {
      "page": "dslcd",
      "title": "Evaluation of a smoothed log-concave maximum likelihood estimator at given points",
      "topics": [
        "dslcd"
      ]
    },
    {
      "page": "EMmixlcd",
      "title": "Estimate the mixture proportions and component densities using EM algorithm",
      "topics": [
        "EMmixlcd"
      ]
    },
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      "page": "getinfolcd",
      "title": "Construct an object of class LogConcDEAD",
      "topics": [
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      ]
    },
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      "title": "Find appropriate weights for likelihood calculations",
      "topics": [
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      ]
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      "topics": [
        "hatA"
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    },
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      "title": "A GUI for classification in two dimensions using smoothed log-concave",
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    },
    {
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      "title": "Evaluate the log-concave maximum likelihood estimator of 2-d data on a grid for plotting",
      "topics": [
        "interplcd"
      ]
    },
    {
      "page": "interpmarglcd",
      "title": "Finds marginals of multivariate logconcave maximum likelihood estimators by integrating",
      "topics": [
        "interpmarglcd"
      ]
    },
    {
      "page": "mlelcd",
      "title": "Compute the maximum likelihood estimator of a log-concave density",
      "topics": [
        "mlelcd"
      ]
    },
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      "title": "Plot a log-concave maximum likelihood estimator",
      "topics": [
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      ]
    },
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