{
  "_id": "6a10aac0acfb0bcc41cbf0da",
  "Package": "actxps",
  "Title": "Create Actuarial Experience Studies: Prepare Data, Summarize\nResults, and Create Reports",
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  "Authors@R": "person(\"Matt\", \"Heaphy\", email = \"mattrmattrs@gmail.com\", role = c(\"aut\", \"cre\"))",
  "Maintainer": "Matt Heaphy <mattrmattrs@gmail.com>",
  "Description": "Experience studies are used by actuaries to explore\nhistorical experience across blocks of business and to inform\nassumption setting activities. This package provides functions\nfor preparing data, creating studies, visualizing results, and\nbeginning assumption development. Experience study methods,\nincluding exposure calculations, are described in: Atkinson &\nMcGarry (2016) \"Experience Study Calculations\"\n<https://www.soa.org/49378a/globalassets/assets/files/research/experience-study-calculations.pdf>.\nThe limited fluctuation credibility method used by the\n'exp_stats()' function is described in: Herzog (1999,\nISBN:1-56698-374-6) \"Introduction to Credibility Theory\".",
  "License": "MIT + file LICENSE",
  "URL": "https://github.com/mattheaphy/actxps/,\nhttps://mattheaphy.github.io/actxps/",
  "BugReports": "https://github.com/mattheaphy/actxps/issues",
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  "Repository": "https://mattheaphy.r-universe.dev",
  "Date/Publication": "2025-09-24 12:55:25 UTC",
  "RemoteUrl": "https://github.com/mattheaphy/actxps",
  "RemoteRef": "HEAD",
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  "Author": "Matt Heaphy [aut, cre]",
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    "description": "Uncertainty enthusiast and actuary.\r\n(he/him)"
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    {
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    "add_predictions",
    "add_transactions",
    "anti_join",
    "arrange",
    "as_exp_df",
    "as_exposed_df",
    "as_trx_df",
    "autoplot",
    "autotable",
    "bake",
    "exp_shiny",
    "exp_stats",
    "expose",
    "expose_cm",
    "expose_cq",
    "expose_cw",
    "expose_cy",
    "expose_pm",
    "expose_pq",
    "expose_pw",
    "expose_py",
    "expose_split",
    "filter",
    "full_join",
    "group_by",
    "groups",
    "inner_join",
    "is_exp_df",
    "is_exposed_df",
    "is_split_exposed_df",
    "is_trx_df",
    "left_join",
    "mutate",
    "plot_actual_to_expected",
    "plot_termination_rates",
    "plot_utilization_rates",
    "pol_mth",
    "pol_qtr",
    "pol_wk",
    "pol_yr",
    "prep",
    "relocate",
    "rename",
    "right_join",
    "select",
    "semi_join",
    "slice",
    "step_expose",
    "tidy",
    "trx_stats",
    "ungroup"
  ],
  "_datasets": [
    {
      "name": "account_vals",
      "title": "Simulated annuity data",
      "object": "account_vals",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "pol_num",
        "pol_date_yr",
        "av_anniv"
      ],
      "rows": 141252,
      "table": true,
      "tojson": true
    },
    {
      "name": "agg_sim_dat",
      "title": "Aggregate simulated annuity data",
      "object": "agg_sim_dat",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "pol_yr",
        "inc_guar",
        "qual",
        "product",
        "exposure_n",
        "claims_n",
        "av",
        "exposure_amt",
        "claims_amt",
        "av_sq",
        "n",
        "wd",
        "wd_n",
        "wd_flag",
        "wd_sq",
        "av_w_wd"
      ],
      "rows": 180,
      "table": true,
      "tojson": true
    },
    {
      "name": "census_dat",
      "title": "Simulated annuity data",
      "object": "census_dat",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "pol_num",
        "status",
        "issue_date",
        "inc_guar",
        "qual",
        "age",
        "product",
        "gender",
        "wd_age",
        "premium",
        "term_date"
      ],
      "rows": 20000,
      "table": true,
      "tojson": true
    },
    {
      "name": "qx_iamb",
      "title": "2012 Individual Annuity Mortality Table and Projection Scale G2",
      "object": "qx_iamb",
      "class": [
        "spec_tbl_df",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "age",
        "qx",
        "gender"
      ],
      "rows": 242,
      "table": true,
      "tojson": true
    },
    {
      "name": "scale_g2",
      "title": "2012 Individual Annuity Mortality Table and Projection Scale G2",
      "object": "scale_g2",
      "class": [
        "spec_tbl_df",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "age",
        "mi",
        "gender"
      ],
      "rows": 242,
      "table": true,
      "tojson": true
    },
    {
      "name": "toy_census",
      "title": "Toy policy census data",
      "object": "toy_census",
      "class": [
        "data.frame"
      ],
      "fields": [
        "pol_num",
        "status",
        "issue_date",
        "term_date"
      ],
      "rows": 3,
      "table": true,
      "tojson": true
    },
    {
      "name": "withdrawals",
      "title": "Simulated annuity data",
      "object": "withdrawals",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "pol_num",
        "trx_date",
        "trx_type",
        "trx_amt"
      ],
      "rows": 160130,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "add_predictions",
      "title": "Add predictions to a data frame",
      "topics": [
        "add_predictions"
      ]
    },
    {
      "page": "add_transactions",
      "title": "Add transactions to an experience study",
      "topics": [
        "add_transactions"
      ]
    },
    {
      "page": "agg_sim_dat",
      "title": "Aggregate simulated annuity data",
      "topics": [
        "agg_sim_dat"
      ]
    },
    {
      "page": "as_exp_df",
      "title": "Termination summary helper functions",
      "topics": [
        "as_exp_df",
        "is_exp_df"
      ]
    },
    {
      "page": "as_trx_df",
      "title": "Transaction summary helper functions",
      "topics": [
        "as_trx_df",
        "is_trx_df"
      ]
    },
    {
      "page": "autoplot_exp",
      "title": "Plot experience study results",
      "topics": [
        "autoplot.exp_df",
        "autoplot.trx_df",
        "autoplot_exp"
      ]
    },
    {
      "page": "autotable",
      "title": "Tabular experience study summary",
      "topics": [
        "autotable",
        "autotable.exp_df",
        "autotable.trx_df"
      ]
    },
    {
      "page": "exp_shiny",
      "title": "Interactively explore experience data",
      "topics": [
        "exp_shiny"
      ]
    },
    {
      "page": "exp_stats",
      "title": "Summarize experience study records",
      "topics": [
        "exp_stats",
        "summary.exp_df"
      ]
    },
    {
      "page": "expose",
      "title": "Create exposure records from census records",
      "topics": [
        "expose",
        "expose_cm",
        "expose_cq",
        "expose_cw",
        "expose_cy",
        "expose_pm",
        "expose_pq",
        "expose_pw",
        "expose_py"
      ]
    },
    {
      "page": "expose_split",
      "title": "Split calendar exposures by policy year",
      "topics": [
        "expose_split",
        "is_split_exposed_df"
      ]
    },
    {
      "page": "is_exposed_df",
      "title": "Exposed data frame helper functions",
      "topics": [
        "as_exposed_df",
        "is_exposed_df"
      ]
    },
    {
      "page": "plot_special",
      "title": "Additional plotting functions for termination studies",
      "topics": [
        "plot_actual_to_expected",
        "plot_special",
        "plot_termination_rates"
      ]
    },
    {
      "page": "plot_special_trx",
      "title": "Additional plotting functions for transaction studies",
      "topics": [
        "plot_special_trx",
        "plot_utilization_rates"
      ]
    },
    {
      "page": "pol_yr",
      "title": "Calculate policy duration",
      "topics": [
        "pol_mth",
        "pol_qtr",
        "pol_wk",
        "pol_yr"
      ]
    },
    {
      "page": "qx_iamb",
      "title": "2012 Individual Annuity Mortality Table and Projection Scale G2",
      "topics": [
        "qx_iamb",
        "scale_g2"
      ]
    },
    {
      "page": "sim_data",
      "title": "Simulated annuity data",
      "topics": [
        "account_vals",
        "census_dat",
        "sim_data",
        "withdrawals"
      ]
    },
    {
      "page": "step_expose",
      "title": "Create exposure records in a 'recipes' step",
      "topics": [
        "step_expose"
      ]
    },
    {
      "page": "summary.exposed_df",
      "title": "Summarize experience study records",
      "topics": [
        "summary.exposed_df"
      ]
    },
    {
      "page": "toy_census",
      "title": "Toy policy census data",
      "topics": [
        "toy_census"
      ]
    },
    {
      "page": "trx_stats",
      "title": "Summarize transactions and utilization rates",
      "topics": [
        "summary.trx_df",
        "trx_stats"
      ]
    }
  ],
  "_pkglogo": "https://github.com/mattheaphy/actxps/raw/HEAD/man/figures/logo.png",
  "_readme": "https://github.com/mattheaphy/actxps/raw/HEAD/README.md",
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  "_vignettes": [
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      "source": "exp_summary.Rmd",
      "filename": "exp_summary.html",
      "title": "Experience summaries",
      "engine": "knitr::rmarkdown",
      "headings": [
        "The exp_stats() function",
        "Grouped data",
        "Target status",
        "Weighted results",
        "Expected values and A/E ratios",
        "Control variables",
        "Credibility",
        "Confidence intervals",
        "Miscellaneous",
        "Summary method",
        "Column names",
        "Applying exp_stats to a non-exposed_df data frame",
        "Limitations"
      ],
      "created": "2023-01-22 16:45:18",
      "modified": "2025-01-04 18:43:47",
      "commits": 7
    },
    {
      "source": "exposures.Rmd",
      "filename": "exposures.html",
      "title": "Exposure calculations",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Toy census data",
        "Policy year exposures",
        "Study start date",
        "Target status",
        "Other exposure periods",
        "Calendar years",
        "Quarters, months, and weeks",
        "Convenience functions",
        "Split exposures by calendar period and policy year",
        "Tidymodels recipe step",
        "Miscellaneous",
        "Column names",
        "Treatment of additional columns in the census data",
        "Stacking exposed_df objects",
        "dplyr verb methods and exposed_df class persistence",
        "Limitations"
      ],
      "created": "2023-01-22 16:45:18",
      "modified": "2025-01-04 18:43:47",
      "commits": 7
    },
    {
      "source": "actxps.Rmd",
      "filename": "actxps.html",
      "title": "Getting started with actxps",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Simulated data set",
        "Creating exposed data",
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