{
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  "Package": "RcppSMC",
  "Type": "Package",
  "Title": "Rcpp Bindings for Sequential Monte Carlo",
  "Version": "0.2.9",
  "Date": "2025-09-09",
  "Authors@R": "c(person(\"Dirk\", \"Eddelbuettel\", role = c(\"aut\", \"cre\"), email = \"edd@debian.org\",\ncomment = c(ORCID = \"0000-0001-6419-907X\")),\nperson(\"Adam M.\", \"Johansen\", role = \"aut\", email=\"adam.johansen@gmail.com\",\ncomment = c(ORCID = \"0000-0002-3531-7628\")),\nperson(\"Leah F.\", \"South\", role = \"aut\", email=\"leah.south@hdr.qut.edu.au\",\ncomment = c(ORCID = \"0000-0002-5646-2963\")),\nperson(\"Ilya\", \"Zarubin\", role = \"aut\", email = \"ilya.a.zarub@googlemail.com\"))",
  "Description": "R access to the Sequential Monte Carlo Template Classes by\nJohansen <doi:10.18637/jss.v030.i06> is provided. At present,\nfour additional examples have been added, and the first example\nfrom the JSS paper has been extended. Further integration and\nextensions are planned.",
  "License": "GPL (>= 2)",
  "LazyLoad": "yes",
  "LazyData": "true",
  "URL": "https://github.com/rcppsmc/rcppsmc,\nhttps://dirk.eddelbuettel.com/code/rcpp.smc.html",
  "BugReports": "https://github.com/rcppsmc/rcppsmc/issues",
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    "Date": "2026-06-06 07:49:46 UTC",
    "User": "root"
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  "Author": "Dirk Eddelbuettel [aut, cre] (ORCID:\n<https://orcid.org/0000-0001-6419-907X>), Adam M. Johansen\n[aut] (ORCID: <https://orcid.org/0000-0002-3531-7628>), Leah F.\nSouth [aut] (ORCID: <https://orcid.org/0000-0002-5646-2963>),\nIlya Zarubin [aut]",
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  "Repository": "https://cran.r-universe.dev",
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      "date": "2018-03-18"
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      "date": "2020-08-30"
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      "date": "2021-02-10"
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      "date": "2025-05-10"
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    "LinReg",
    "LinRegLA",
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    "nonLinPMMH",
    "pfLineartBS",
    "pfLineartBSOnlinePlot",
    "pfNonlinBS",
    "RcppSMC.package.skeleton",
    "simGaussian",
    "simGaussianSSM",
    "simLineart",
    "simNonlin"
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      "title": "Radiata pine dataset (linear regression example)",
      "object": "radiata",
      "class": [
        "data.frame"
      ],
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        "y",
        "x1",
        "x2"
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      "rows": 42,
      "table": true,
      "tojson": true
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    {
      "page": "blockpfGaussianOpt",
      "title": "Block Sampling Particle Filter (Linear Gaussian Model; Optimal Proposal)",
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        "simGaussian"
      ]
    },
    {
      "page": "cSMCexamples",
      "title": "Conditional Sequential Monte Carlo Examples",
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        "compareNCestimates",
        "kalmanFFBS",
        "simGaussianSSM"
      ]
    },
    {
      "page": "LinReg",
      "title": "Simple Linear Regression",
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        "LinRegLA",
        "LinRegLA_adapt"
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        "nonLinPMMH"
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      "title": "Particle Filter Example",
      "topics": [
        "pfLineartBS",
        "pfLineartBSOnlinePlot",
        "simLineart"
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    },
    {
      "page": "pfNonlinBS",
      "title": "Nonlinear Bootstrap Particle Filter (Univariate Non-Linear State Space Model)",
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        "pfNonlinBS"
      ]
    },
    {
      "page": "radiata",
      "title": "Radiata pine dataset (linear regression example)",
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        "radiata"
      ]
    },
    {
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      "title": "Create a skeleton for a new package that intends to use RcpSMCp",
      "topics": [
        "RcppSMC.package.skeleton"
      ]
    },
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