{
  "_id": "6a1052e4acfb0bcc41ca1907",
  "Package": "SPLICE",
  "Title": "Synthetic Paid Loss and Incurred Cost Experience (SPLICE)\nSimulator",
  "Version": "1.1.2",
  "Authors@R": "c(\nperson(\"Benjamin\", \"Avanzi\", role = \"aut\", email = \"b.avanzi@unimelb.edu.au\"),\nperson(\"Greg\", \"Taylor\", role = \"aut\", email = \"greg_taylor60@hotmail.com\"),\nperson(\"Melantha\", \"Wang\", role = c(\"aut\", \"cre\"), email = \"wang.melantha@gmail.com\"),\nperson(\"William\", \"Ho\", role = \"aut\", email = \"ho.w@unimelb.edu.au\"))",
  "Author": "Benjamin Avanzi [aut], Greg Taylor [aut], Melantha Wang [aut,\ncre], William Ho [aut]",
  "Maintainer": "Melantha Wang <wang.melantha@gmail.com>",
  "Description": "An extension to the individual claim simulator called\n'SynthETIC' (on CRAN), to simulate the evolution of case\nestimates of incurred losses through the lifetime of an\ninsurance claim. The transactional simulation output now\ncomprises key dates, and both claim payments and revisions of\nestimated incurred losses. An initial set of test parameters,\ndesigned to mirror the experience of a real insurance\nportfolio, were set up and applied by default to generate a\nrealistic test data set of incurred histories (see vignette).\nHowever, the distributional assumptions used to generate this\ndata set can be easily modified by users to match their\nexperiences. Reference: Avanzi B, Taylor G, Wang M (2021)\n\"SPLICE: A Synthetic Paid Loss and Incurred Cost Experience\nSimulator\" <arXiv:2109.04058>.",
  "License": "GPL-3",
  "Encoding": "UTF-8",
  "URL": "https://github.com/agi-lab/SPLICE",
  "BugReports": "https://github.com/agi-lab/SPLICE/issues",
  "LazyData": "true",
  "Roxygen": "list(markdown = TRUE)",
  "RoxygenNote": "7.3.1",
  "VignetteBuilder": "knitr",
  "Repository": "https://agi-lab.r-universe.dev",
  "Date/Publication": "2024-02-04 00:15:40 UTC",
  "RemoteUrl": "https://github.com/agi-lab/splice",
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  "_created": "2026-05-09T09:15:02.000Z",
  "_published": "2026-05-22T12:58:12.350Z",
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    "author": "Melantha Wang <51358773+melantha-wang@users.noreply.github.com>",
    "committer": "GitHub <noreply@github.com>",
    "message": "Merge pull request #3 from agi-lab/feature-covariates\n\nAdd feature covariates",
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  "_tags": [],
  "_stars": 6,
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  "_userbio": {
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    "type": "organization",
    "name": "Australian General Insurance Lab (AGIL)",
    "description": "This lab intends to make research made by Australian general insurance researchers available to the public."
  },
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/SPLICE"
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  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
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    "extra/NEWS.txt",
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    "extra/readme.md",
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  "_realowner": "agi-lab",
  "_cranurl": true,
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      "version": "1.0.0",
      "date": "2021-09-13"
    },
    {
      "version": "1.1.0",
      "date": "2022-03-05"
    },
    {
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      "date": "2023-04-16"
    },
    {
      "version": "1.1.2",
      "date": "2024-02-04"
    }
  ],
  "_exports": [
    "claim_history",
    "claim_majRev_freq",
    "claim_majRev_size",
    "claim_majRev_time",
    "claim_minRev_freq",
    "claim_minRev_size",
    "claim_minRev_time",
    "dtri",
    "generate_data",
    "generate_incurred_dataset",
    "output_incurred",
    "ptri",
    "qtri",
    "rtri"
  ],
  "_datasets": [
    {
      "name": "test_incurred_dataset_inflated",
      "title": "Incurred Case Estimates Dataset",
      "object": "test_incurred_dataset_inflated",
      "class": [
        "data.frame"
      ],
      "fields": [
        "claim_no",
        "claim_size",
        "txn_time",
        "txn_delay",
        "txn_type",
        "incurred",
        "OCL",
        "cumpaid",
        "multiplier"
      ],
      "rows": 31250,
      "table": true,
      "tojson": true
    },
    {
      "name": "test_incurred_dataset_noInf",
      "title": "Incurred Case Estimates Dataset",
      "object": "test_incurred_dataset_noInf",
      "class": [
        "data.frame"
      ],
      "fields": [
        "claim_no",
        "claim_size",
        "txn_time",
        "txn_delay",
        "txn_type",
        "incurred",
        "OCL",
        "cumpaid",
        "multiplier"
      ],
      "rows": 31250,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "claim_history",
      "title": "Development of Case Estimates",
      "topics": [
        "claim_history"
      ]
    },
    {
      "page": "claim_majRev",
      "title": "Major Revisions of Incurred Loss",
      "topics": [
        "claim_majRev",
        "claim_majRev_freq",
        "claim_majRev_size",
        "claim_majRev_time"
      ]
    },
    {
      "page": "claim_minRev",
      "title": "Minor Revisions of Outstanding Claim Payments",
      "topics": [
        "claim_minRev",
        "claim_minRev_freq",
        "claim_minRev_size",
        "claim_minRev_time"
      ]
    },
    {
      "page": "generate_data",
      "title": "Generate Data of Varying Complexity",
      "topics": [
        "generate_data"
      ]
    },
    {
      "page": "generate_incurred_dataset",
      "title": "Generate Incurred Dataset",
      "topics": [
        "generate_incurred_dataset"
      ]
    },
    {
      "page": "output_incurred",
      "title": "Incurred Triangles",
      "topics": [
        "output_incurred"
      ]
    },
    {
      "page": "test_incurred_dataset",
      "title": "Incurred Case Estimates Dataset",
      "topics": [
        "test_incurred_dataset",
        "test_incurred_dataset_inflated",
        "test_incurred_dataset_noInf"
      ]
    },
    {
      "page": "triangular",
      "title": "The Triangular Distribution",
      "topics": [
        "dtri",
        "ptri",
        "qtri",
        "rtri",
        "triangular"
      ]
    }
  ],
  "_readme": "https://github.com/agi-lab/splice/raw/HEAD/README.md",
  "_rundeps": [
    "cli",
    "cpp11",
    "dplyr",
    "farver",
    "generics",
    "ggplot2",
    "glue",
    "gtable",
    "isoband",
    "labeling",
    "lattice",
    "lifecycle",
    "magrittr",
    "pillar",
    "pkgconfig",
    "R6",
    "RColorBrewer",
    "rlang",
    "S7",
    "scales",
    "SynthETIC",
    "tibble",
    "tidyselect",
    "utf8",
    "vctrs",
    "viridisLite",
    "withr",
    "zoo"
  ],
  "_vignettes": [
    {
      "source": "SPLICE-demo.Rmd",
      "filename": "SPLICE-demo.html",
      "title": "SPLICE: A Synthetic Paid Loss and Incurred Cost Experience Simulator",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Set Up",
        "1.1 Frequency of Major Revisions",
        "Example 1.1.1 Zero-truncated Poisson distribution",
        "Example 1.1.2 Additional dependencies",
        "Example 1.1.3 Default implementation",
        "1.2 Time of Major Revisions",
        "Example 1.2.1 Modified uniform distribution",
        "Example 1.2.2 Default implementation",
        "1.3 Size of Major Revisions",
        "Example 1.3.1 Gamma distribution",
        "Example 1.3.2 Default implementation",
        "2.1 Frequency of Minor Revisions",
        "Example 2.1.1 Default implementation",
        "Example 2.1.2 Alternative sampling distribution",
        "2.2 Time of Minor Revisions",
        "Example 2.2.1 Default implementation",
        "Example 2.2.2 Alternative sampling distribution",
        "2.3 Size of Minor Revisions",
        "Example 2.3.1 Default implementation",
        "Example 2.3.2 Uniform distribution for minor revision multipliers",
        "Implementation and Output",
        "Output: Chain-Ladder Incurred Triangles"
      ],
      "created": "2021-07-11 10:58:27",
      "modified": "2023-04-16 00:04:51",
      "commits": 13
    }
  ],
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  "_indexed": true,
  "_nocasepkg": "splice",
  "_universes": [
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    "melantha-wang"
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