{ "_id": "6a1035abacfb0bcc41c99bcb", "Package": "BayesMoFo", "Title": "Bayesian Mortality Forecasting", "Version": "0.1.0", "Authors@R": "c(person(given = c(\"Jackie\", \"Siaw\", \"Tze\"),\nfamily = \"Wong\",\nrole = c(\"aut\", \"cre\"),\nemail = \"jw19203@essex.ac.uk\",\ncomment = c(ORCID = \"0000-0002-0314-6684\")),\nperson(given = \"Alex\",\nfamily = \"Diana\",\nrole = \"ctb\",\nemail = \"ad23269@essex.ac.uk\"),\nperson(given = \"Aniketh\",\nfamily = \"Pittea\",\nrole = \"ctb\",\nemail = \"aniketh.pittea@uk.gt.com\"))", "Description": "Carry out Bayesian estimation and forecasting for a\nvariety of stochastic mortality models using vague prior\ndistributions. Models supported include numerous\nwell-established approaches introduced in the actuarial and\ndemographic literature, such as the Lee-Carter (1992)\n, the Cairns-Blake-Dowd\n(2009) , the Li-Lee (2005)\n, and the Plat (2009)\n models. The package is\ndesigned to analyse stratified mortality data structured as a\n3-dimensional array of dimensions p × A × T (strata × age ×\nyear). Stratification can represent factors such as cause of\ndeath, country, deprivation level, sex, geographic region,\ninsurance product, marital status, socioeconomic group, or\nsmoking behavior. While the primary focus is on analysing\nstratified data (p > 1), the package can also handle mortality\ndata that are not stratified (p = 1). 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It is a program for analysis of\nBayesian hierarchical models using Markov Chain Monte Carlo (MCMC)\nsimulation not wholly unlike BUGS.\n\nJAGS was written with three aims in mind:\n* To have an engine for the BUGS language that runs on Unix\n* To be extensible, allowing users to write their own functions,\ndistributions and samplers.\n* To be a plaftorm for experimentation with ideas in Bayesian modelling\n\nThis package contains the 'jags' binary as well as the associated\nshared library modules loaded by the binary." }, { "shlib": "libstdc++", "package": "libstdc++6", "source": "gcc", "version": "14.2.0-4ubuntu2~24.04.1", "name": "c++", "homepage": "http://gcc.gnu.org/", "description": "GNU Standard C++ Library v3" } ], "_vignettes": [ { "source": "BayesMoFo-vignette.Rmd", "filename": "BayesMoFo-vignette.html", "title": "BayesMoFo-vignette", "engine": "knitr::rmarkdown", "headings": [ "Age-Period (AP) data", "Data preparation", "Data supplied as a data-frame", "Data supplied as a 3D data array", "Data supplied as a data matrix", "Running the model", "Forecast", "Analyzing the output", "Convergence diagnostics", "Age-period-product (APP) data", "Plot the output", "Appendix A: full list of age-period models considered", "Appendix B: full list of age-period-product models considered", "References" ], "created": "2025-07-14 17:30:06", "modified": "2025-07-14 17:30:06", "commits": 1 } ], "_score": 2.6989700043360187, "_indexed": true, "_nocasepkg": "bayesmofo", "_universes": [ "cran" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.1.0", "date": "2026-05-12T07:07:34.000Z", "distro": "noble", "commit": "571506568e10757669ebd6fbd46b93c5dd5862b5", "fileid": "d2d3253e6bbb064a19be3ff6b6ad2c77b878e2ccb476993acbde7dca2c7c70c1", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/25718809499" }, { "r": "4.6.0", "os": "linux", "version": "0.1.0", "date": "2026-05-12T07:07:57.000Z", "distro": "noble", "commit": "571506568e10757669ebd6fbd46b93c5dd5862b5", "fileid": "a60c109020a7f32c6518f0e761ee6b5f248799338ec71e084e024cb324692ff0", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/25718809499" }, { "r": "4.6.0", "os": "wasm", "version": "0.1.0", "date": "2026-05-22T10:53:06.000Z", "commit": "571506568e10757669ebd6fbd46b93c5dd5862b5", "fileid": "7977fb75528a59c50a086bf523d03db3c4e71de96854ee803796262a79186c92", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/25718809499" } ] }