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  "Package": "SynthETIC",
  "Title": "Synthetic Experience Tracking Insurance Claims",
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  "Authors@R": "c(\nperson(\"Benjamin\", \"Avanzi\", role = \"aut\", email = \"b.avanzi@unimelb.edu.au\"),\nperson(\"William\", \"Ho\", role = \"aut\", email = \"ho.w@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(\"Bernard\", \"Wong\", role = \"aut\", email = \"bernard.wong@unsw.edu.au\"))",
  "Author": "Benjamin Avanzi [aut], William Ho [aut], Greg Taylor [aut],\nMelantha Wang [aut, cre], Bernard Wong [aut]",
  "Maintainer": "Melantha Wang <wang.melantha@gmail.com>",
  "Description": "Creation of an individual claims simulator which generates\nvarious features of non-life insurance claims. An initial set\nof test parameters, designed to mirror the experience of an\nAuto Liability portfolio, were set up and applied by default to\ngenerate a realistic test data set of individual claims (see\nvignette). The simulated data set then allows practitioners to\nback-test the validity of various reserving models and to prove\nand/or disprove certain actuarial assumptions made in claims\nmodelling. 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, Wong B\n(2020) \"SynthETIC: an individual insurance claim simulator with\nfeature control\" <doi:10.48550/arXiv.2008.05693>.",
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      "date": "2020-08-24"
    },
    {
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      "date": "2021-04-02"
    },
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    "check_relativity",
    "claim_closure",
    "claim_frequency",
    "claim_notification",
    "claim_occurrence",
    "claim_output",
    "claim_payment_delay",
    "claim_payment_inflation",
    "claim_payment_no",
    "claim_payment_size",
    "claim_payment_time",
    "claim_size",
    "claim_size_adj",
    "claim_size_adj.fit",
    "claims",
    "covariates",
    "covariates_data",
    "covariates_relativity",
    "cv",
    "generate_claim_dataset",
    "generate_transaction_dataset",
    "get_Beta_parameters",
    "get_Weibull_parameters",
    "plot_transaction_dataset",
    "relativity_template",
    "return_parameters",
    "set_parameters",
    "set.covariates_relativity",
    "simulate_cdf",
    "simulate_covariates",
    "to_SynthETIC"
  ],
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      "title": "Claims Dataset",
      "object": "test_claim_dataset",
      "class": [
        "data.frame"
      ],
      "fields": [
        "claim_no",
        "occurrence_period",
        "occurrence_time",
        "claim_size",
        "notidel",
        "setldel",
        "no_payment"
      ],
      "rows": 3624,
      "table": true,
      "tojson": true
    },
    {
      "name": "test_claim_dataset_cov",
      "title": "Claims Dataset",
      "object": "test_claim_dataset_cov",
      "class": [
        "data.frame"
      ],
      "fields": [
        "claim_no",
        "occurrence_period",
        "occurrence_time",
        "claim_size",
        "notidel",
        "setldel",
        "no_payment"
      ],
      "rows": 3624,
      "table": true,
      "tojson": true
    },
    {
      "name": "test_claims_object",
      "title": "Claims Data in List Format",
      "object": "test_claims_object",
      "class": [
        "claims"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "test_claims_object_cov",
      "title": "Claims Data in List Format",
      "object": "test_claims_object_cov",
      "class": [
        "claims"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "test_covariates_dataset",
      "title": "Covariates Data Object",
      "object": "test_covariates_dataset",
      "class": [
        "covariates_data"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "test_covariates_obj",
      "title": "Covariates Object",
      "object": "test_covariates_obj",
      "class": [
        "covariates"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "test_transaction_dataset",
      "title": "Transactions Dataset",
      "object": "test_transaction_dataset",
      "class": [
        "data.frame"
      ],
      "fields": [
        "claim_no",
        "pmt_no",
        "occurrence_period",
        "occurrence_time",
        "claim_size",
        "notidel",
        "setldel",
        "payment_time",
        "payment_period",
        "payment_size",
        "payment_inflated",
        "payment_delay"
      ],
      "rows": 18983,
      "table": true,
      "tojson": true
    },
    {
      "name": "test_transaction_dataset_cov",
      "title": "Transactions Dataset",
      "object": "test_transaction_dataset_cov",
      "class": [
        "data.frame"
      ],
      "fields": [
        "claim_no",
        "pmt_no",
        "occurrence_period",
        "occurrence_time",
        "claim_size",
        "notidel",
        "setldel",
        "payment_time",
        "payment_period",
        "payment_size",
        "payment_inflated",
        "payment_delay"
      ],
      "rows": 17382,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "check_relativity",
      "title": "Function to check the input Covariate Relativities",
      "topics": [
        "check_relativity"
      ]
    },
    {
      "page": "claim_closure",
      "title": "Claim Closure",
      "topics": [
        "claim_closure"
      ]
    },
    {
      "page": "claim_frequency",
      "title": "Claim Frequency",
      "topics": [
        "claim_frequency"
      ]
    },
    {
      "page": "claim_notification",
      "title": "Claim Notification",
      "topics": [
        "claim_notification"
      ]
    },
    {
      "page": "claim_occurrence",
      "title": "Claim Occurrence Times",
      "topics": [
        "claim_occurrence"
      ]
    },
    {
      "page": "claim_output",
      "title": "Loss Reserving Output",
      "topics": [
        "claim_output"
      ]
    },
    {
      "page": "claim_payment_delay",
      "title": "Inter-Partial Delays",
      "topics": [
        "claim_payment_delay"
      ]
    },
    {
      "page": "claim_payment_inflation",
      "title": "Size of Partial Payments (With Inflation)",
      "topics": [
        "claim_payment_inflation"
      ]
    },
    {
      "page": "claim_payment_no",
      "title": "Number of Partial Payments",
      "topics": [
        "claim_payment_no"
      ]
    },
    {
      "page": "claim_payment_size",
      "title": "Size of Partial Payments (Without Inflation)",
      "topics": [
        "claim_payment_size"
      ]
    },
    {
      "page": "claim_payment_time",
      "title": "Partial Payment Times (in Continuous Time Scale)",
      "topics": [
        "claim_payment_time"
      ]
    },
    {
      "page": "claim_size",
      "title": "Claim Size",
      "topics": [
        "claim_size"
      ]
    },
    {
      "page": "claim_size_adj",
      "title": "Covariates Claim Size Adjustment",
      "topics": [
        "claim_size_adj"
      ]
    },
    {
      "page": "claim_size_adj.fit",
      "title": "Covariates Claim Size Adjustment",
      "topics": [
        "claim_size_adj.fit"
      ]
    },
    {
      "page": "claims",
      "title": "Construction of a 'claims' Object",
      "topics": [
        "claims"
      ]
    },
    {
      "page": "covariates",
      "title": "Construction of a 'covariates' Object",
      "topics": [
        "covariates"
      ]
    },
    {
      "page": "covariates_data",
      "title": "Construction of a 'covariates_data' Object",
      "topics": [
        "covariates_data"
      ]
    },
    {
      "page": "covariates_relativity",
      "title": "Calculates Relativities",
      "topics": [
        "covariates_relativity"
      ]
    },
    {
      "page": "cv",
      "title": "Coefficient of Variation",
      "topics": [
        "cv"
      ]
    },
    {
      "page": "generate_claim_dataset",
      "title": "Generate a Claims Dataset",
      "topics": [
        "generate_claim_dataset"
      ]
    },
    {
      "page": "generate_transaction_dataset",
      "title": "Generate a Transactions Dataset",
      "topics": [
        "generate_transaction_dataset"
      ]
    },
    {
      "page": "get_Beta_parameters",
      "title": "Estimating Beta Parameters",
      "topics": [
        "get_Beta_parameters"
      ]
    },
    {
      "page": "get_Weibull_parameters",
      "title": "Estimating Weibull Parameters",
      "topics": [
        "get_Weibull_parameters"
      ]
    },
    {
      "page": "plot_transaction_dataset",
      "title": "Plot of Cumulative Claims Payments (Incurred Pattern)",
      "topics": [
        "plot_transaction_dataset"
      ]
    },
    {
      "page": "plot.claims",
      "title": "Plot of Cumulative Claims Payments (Incurred Pattern)",
      "topics": [
        "plot.claims"
      ]
    },
    {
      "page": "relativity_template",
      "title": "Template to input Covariate Relativities",
      "topics": [
        "relativity_template"
      ]
    },
    {
      "page": "return_parameters",
      "title": "Get Current Parameters",
      "topics": [
        "return_parameters"
      ]
    },
    {
      "page": "set_parameters",
      "title": "Set Packagewise Global Parameters for the Claims Simulator",
      "topics": [
        "set_parameters"
      ]
    },
    {
      "page": "set.covariates_relativity",
      "title": "Sets the claims relativity for a 'covariates' object.",
      "topics": [
        "set.covariates_relativity"
      ]
    },
    {
      "page": "simulate_cdf",
      "title": "Inverse Tranform Sampling",
      "topics": [
        "simulate_cdf"
      ]
    },
    {
      "page": "simulate_covariates",
      "title": "Covariates Simulation",
      "topics": [
        "simulate_covariates"
      ]
    },
    {
      "page": "test_claim_dataset",
      "title": "Claims Dataset",
      "topics": [
        "test_claim_dataset"
      ]
    },
    {
      "page": "test_claim_dataset_cov",
      "title": "Claims Dataset",
      "topics": [
        "test_claim_dataset_cov"
      ]
    },
    {
      "page": "test_claims_object",
      "title": "Claims Data in List Format",
      "topics": [
        "test_claims_object"
      ]
    },
    {
      "page": "test_claims_object_cov",
      "title": "Claims Data in List Format",
      "topics": [
        "test_claims_object_cov"
      ]
    },
    {
      "page": "test_covariates_dataset",
      "title": "Covariates Data Object",
      "topics": [
        "test_covariates_dataset"
      ]
    },
    {
      "page": "test_covariates_obj",
      "title": "Covariates Object",
      "topics": [
        "test_covariates_obj"
      ]
    },
    {
      "page": "test_transaction_dataset",
      "title": "Transactions Dataset",
      "topics": [
        "test_transaction_dataset"
      ]
    },
    {
      "page": "test_transaction_dataset_cov",
      "title": "Transactions Dataset",
      "topics": [
        "test_transaction_dataset_cov"
      ]
    },
    {
      "page": "to_SynthETIC",
      "title": "Conversion to SynthETIC Format",
      "topics": [
        "to_SynthETIC"
      ]
    }
  ],
  "_readme": "https://github.com/agi-lab/synthetic/raw/HEAD/README.md",
  "_rundeps": [
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  "_vignettes": [
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      "source": "SynthETIC-covariates-demo.Rmd",
      "filename": "SynthETIC-covariates-demo.html",
      "title": "The Inclusion of Claim Covariates in the Generation of SynthETIC Claims",
      "engine": "knitr::rmarkdown",
      "headings": [
        "S_adj, claim size             claim_size_w_cov[[i]] = claim size for all claims that occurred in period i after adjustment for covariates",
        "Reference",
        "SynthETIC Set Up",
        "Applying Covariates",
        "Modelling Steps 3-5",
        "Appendix 1: Using Different Sets of Covariates",
        "Appendix 2: Applying Known Covariate Values"
      ],
      "created": "2024-01-27 23:11:35",
      "modified": "2024-01-27 23:11:35",
      "commits": 1
    },
    {
      "source": "SynthETIC-demo.Rmd",
      "filename": "SynthETIC-demo.html",
      "title": "Use of SynthETIC to Generate Individual Claims of Realistic Features",
      "engine": "knitr::rmarkdown",
      "headings": [
        "actual payments (inflated)      payment_inflated[[i]][[j]] = $ partial payments (inflated) for claim j of occurrence period i",
        "Reference",
        "Set Up",
        "Package-wise Global Parameters",
        "Example 1.1: Constant exposure and frequency",
        "Input parameters",
        "Implementation and Output",
        "Example 1.2: Increasing exposure, constant frequency per unit of exposure",
        "Example 1.3: Alternative claim frequency distribution",
        "Example 1.4: Alternative specification of the claim arrival process",
        "Example 2.1: Default power normal",
        "Example 2.2: Alternative claim size distribution",
        "Example 2.3: Simulating claim sizes from covariates",
        "Example 2.4: Bootstrapping from given loss data",
        "Example 3.1: Default Weibull",
        "Example 3.2: Alternative distribution for notification delay",
        "Example 3.3: User-defined sampling function for notification delay",
        "Example 4.1: Default Weibull",
        "Example 4.2: Additional dependencies",
        "Example 5.1: Default mixture distribution",
        "Example 5.2: Alternative distribution for number of partial payments",
        "Interlude: Claims Dataset",
        "Example 6.1: Default Distribution",
        "Example 6.2: Alternative payment size distribution",
        "Interlude: Transaction Dataset",
        "Output",
        "Plot of Cumulative Claims Payments",
        "Multiple Simulation Runs"
      ],
      "created": "2020-08-08 03:23:30",
      "modified": "2025-11-01 07:24:05",
      "commits": 10
    }
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