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  "Title": "Template Model Builder: A General Random Effect Tool Inspired by\n'ADMB'",
  "Version": "1.9.23",
  "Date": "2026-07-22",
  "Authors@R": "c(person(\"Kasper\",\"Kristensen\",role=c(\"aut\",\"cre\",\"cph\"),email=\"kaskr@dtu.dk\"),\nperson(\"Brad\",\"Bell\",role=\"cph\"),\nperson(\"Hans\",\"Skaug\",role=\"ctb\"),\nperson(\"Arni\",\"Magnusson\",role=\"ctb\"),\nperson(\"Casper\",\"Berg\",role=\"ctb\"),\nperson(\"Anders\",\"Nielsen\",role=\"ctb\"),\nperson(\"Martin\",\"Maechler\",role=\"ctb\"),\nperson(\"Theo\",\"Michelot\",role=\"ctb\"),\nperson(\"Mollie\",\"Brooks\",role=\"ctb\"),\nperson(\"Alex\",\"Forrence\",role=\"ctb\"),\nperson(\"Christoffer\",\"Moesgaard Albertsen\",role=\"ctb\"),\nperson(\"Cole\",\"Monnahan\",role=\"ctb\") )",
  "Maintainer": "Kasper Kristensen <kaskr@dtu.dk>",
  "Author": "Kasper Kristensen [aut, cre, cph], Brad Bell [cph], Hans Skaug\n[ctb], Arni Magnusson [ctb], Casper Berg [ctb], Anders Nielsen\n[ctb], Martin Maechler [ctb], Theo Michelot [ctb], Mollie\nBrooks [ctb], Alex Forrence [ctb], Christoffer Moesgaard\nAlbertsen [ctb], Cole Monnahan [ctb]",
  "Copyright": "See the file COPYRIGHTS",
  "Description": "With this tool, a user should be able to quickly implement\ncomplex random effect models through simple C++ templates. The\npackage combines 'CppAD' (C++ automatic differentiation),\n'Eigen' (templated matrix-vector library) and 'CHOLMOD' (sparse\nmatrix routines available from R) to obtain an efficient\nimplementation of the applied Laplace approximation with exact\nderivatives. Key features are: Automatic sparseness detection,\nparallelism through 'BLAS' and parallel user templates.",
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  "URL": "https://github.com/kaskr/adcomp/wiki",
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  "_created": "2026-10-28T11:43:58.000Z",
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    "print.checkConsistency",
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    "sdreport",
    "SR",
    "summary.checkConsistency",
    "summary.sdreport",
    "template",
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    "tmbprofile",
    "tmbroot"
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      "topics": [
        "benchmark",
        "plot.parallelBenchmark"
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      "title": "Check consistency and Laplace accuracy",
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        "checkConsistency"
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    },
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      "topics": [
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      "topics": [
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      "title": "Profile based confidence intervals.",
      "topics": [
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      "topics": [
        "FreeADFun"
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      "topics": [
        "gdbsource",
        "print.backtrace"
      ]
    },
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      "topics": [
        "GK"
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    },
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      "title": "Construct objective functions with derivatives based on a compiled C++ template.",
      "topics": [
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      "title": "Set newton options for a model object.",
      "topics": [
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      "title": "Normalize process likelihood using the Laplace approximation.",
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        "normalize"
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        "oneStepPredict"
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    },
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        "openmp"
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      "topics": [
        "precompile"
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    {
      "page": "print.checkConsistency",
      "title": "Print output from 'checkConsistency'",
      "topics": [
        "print.checkConsistency"
      ]
    },
    {
      "page": "print.sdreport",
      "title": "Print brief model summary",
      "topics": [
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    },
    {
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      "title": "Create minimal R-code corresponding to a cpp template.",
      "topics": [
        "Rinterface"
      ]
    },
    {
      "page": "runExample",
      "title": "Run one of the test examples.",
      "topics": [
        "runExample"
      ]
    },
    {
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      "title": "Run symbolic analysis on sparse Hessian",
      "topics": [
        "runSymbolicAnalysis"
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    {
      "page": "sdreport",
      "title": "General sdreport function.",
      "topics": [
        "sdreport"
      ]
    },
    {
      "page": "SR",
      "title": "Sequential reduction configuration",
      "topics": [
        "SR"
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    },
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