{ "_id": "6af7ad84b90b31e79afd8c43", "Package": "healthsim", "Title": "Simulate Synthetic Health Insurance Portfolios and Panels", "Version": "0.1.0", "Authors@R": "person(\"Sbusiso\", \"Mdingi\", email = \"sbusiso@mdingi.co.za\",\nrole = c(\"aut\", \"cre\", \"cph\"),\ncomment = c(ORCID = \"0009-0003-4417-968X\"))", "Description": "Generates synthetic South African health insurance data\nwith a known data-generating process, for teaching and testing\npricing models. One function simulates a cross-sectional\nportfolio of principal members with negative binomial claim\ncounts and a lognormal-Pareto severity mixture. Another\nsimulates a multi-year open-cohort panel with ageing, smoking\ncessation, wearable activity and sleep data joined by a Clayton\ncopula, claims inflation, annual benefit limits, lapses and\ndeaths. Every parameter can be changed, and the true expected\nfrequency and severity are available for checking fitted\nmodels.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "Config/testthat/edition": "3", "URL": "https://github.com/Sbusiso-Mdingi/healthsim,\nhttps://www.kaggle.com/sbusisomdingiayesbu", "BugReports": "https://github.com/Sbusiso-Mdingi/healthsim/issues", "Config/roxygen2/version": "8.1.1", "NeedsCompilation": "no", "Packaged": { "Date": "2026-11-14 00:34:37 UTC", "User": "root" }, "Author": "Sbusiso Mdingi [aut, cre, cph] (ORCID:\n)", "Maintainer": "Sbusiso Mdingi ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-11-13 18:00:02 UTC", "RemoteUrl": "https://github.com/cran/healthsim", "RemoteRef": "HEAD", "RemoteSha": "4ce9eecaf99efe599912a27e122b0a93f6f22001", "_user": "cran", "_type": "src", "_file": "healthsim_0.1.0.tar.gz", "_fileid": "https://r2.ropensci.org/8f607d2d3094cb0e4bd845fd374a6cee93b6cfb1cde4008fae5fd3f04f32f689", "_filesize": 114553, "_sha256": "8f607d2d3094cb0e4bd845fd374a6cee93b6cfb1cde4008fae5fd3f04f32f689", "_expires": "2027-02-22T00:38:26.000Z", "_created": "2026-11-14T00:34:37.000Z", "_published": "2026-11-14T00:38:28.593Z", "_upstream": "https://github.com/cran/healthsim", "_status": "success", "_maintainer": { "name": "Sbusiso Mdingi", "email": "sbusiso@mdingi.co.za", "login": "sbusiso-mdingi", "linkedin": "in/ssmdingi", "orcid": "0009-0003-4417-968X", "description": "Actuarial science graduate building pricing, risk and machine learning models in Python, R and SQL. 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