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      "title": "Damped Random Walk Prior",
      "topics": [
        "DRW"
      ]
    },
    {
      "page": "DRW2",
      "title": "Damped Second-Order Random Walk Prior",
      "topics": [
        "DRW2"
      ]
    },
    {
      "page": "fit.bage_mod",
      "title": "Fit a Model",
      "topics": [
        "fit.bage_mod"
      ]
    },
    {
      "page": "forecast.bage_mod",
      "title": "Use a Model to Make a Forecast",
      "topics": [
        "forecast.bage_mod"
      ]
    },
    {
      "page": "generate.bage_prior_ar",
      "title": "Generate Values from Priors",
      "topics": [
        "generate.bage_prior_ar",
        "generate.bage_prior_drw2random",
        "generate.bage_prior_drw2zero",
        "generate.bage_prior_drwrandom",
        "generate.bage_prior_drwzero",
        "generate.bage_prior_known",
        "generate.bage_prior_lin",
        "generate.bage_prior_linar",
        "generate.bage_prior_linex",
        "generate.bage_prior_norm",
        "generate.bage_prior_normfixed",
        "generate.bage_prior_rw2random",
        "generate.bage_prior_rw2randomar",
        "generate.bage_prior_rw2randomseasfix",
        "generate.bage_prior_rw2randomseasvary",
        "generate.bage_prior_rw2zero",
        "generate.bage_prior_rw2zeroar",
        "generate.bage_prior_rw2zeroseasfix",
        "generate.bage_prior_rw2zeroseasvary",
        "generate.bage_prior_rwrandom",
        "generate.bage_prior_rwrandomseasfix",
        "generate.bage_prior_rwrandomseasvary",
        "generate.bage_prior_rwzero",
        "generate.bage_prior_rwzeroseasfix",
        "generate.bage_prior_rwzeroseasvary",
        "generate.bage_prior_spline",
        "generate.bage_prior_svd",
        "generate.bage_prior_svd_ar",
        "generate.bage_prior_svd_drw2random",
        "generate.bage_prior_svd_drw2zero",
        "generate.bage_prior_svd_drwrandom",
        "generate.bage_prior_svd_drwzero",
        "generate.bage_prior_svd_lin",
        "generate.bage_prior_svd_linex",
        "generate.bage_prior_svd_rw2random",
        "generate.bage_prior_svd_rw2zero",
        "generate.bage_prior_svd_rwrandom",
        "generate.bage_prior_svd_rwzero"
      ]
    },
    {
      "page": "generate.bage_ssvd",
      "title": "Generate Random Age or Age-Sex Profiles",
      "topics": [
        "generate.bage_ssvd"
      ]
    },
    {
      "page": "HFD",
      "title": "Scaled SVD Components from Human Fertility Database",
      "topics": [
        "HFD"
      ]
    },
    {
      "page": "HIMD_R",
      "title": "Scaled SVD Components from Human Internal Migration Database",
      "topics": [
        "HIMD_P1",
        "HIMD_P5",
        "HIMD_R"
      ]
    },
    {
      "page": "HMD",
      "title": "Scaled SVD Components from Human Mortality Database",
      "topics": [
        "HMD"
      ]
    },
    {
      "page": "is_fitted",
      "title": "Test Whether a Model has Been Fitted",
      "topics": [
        "is_fitted"
      ]
    },
    {
      "page": "isl_deaths",
      "title": "Deaths in Iceland",
      "topics": [
        "isl_deaths"
      ]
    },
    {
      "page": "Known",
      "title": "Known Prior",
      "topics": [
        "Known"
      ]
    },
    {
      "page": "kor_births",
      "title": "Births in South Korea",
      "topics": [
        "kor_births"
      ]
    },
    {
      "page": "LFP",
      "title": "Scaled SVD Components from OECD Labor Force Participation Data",
      "topics": [
        "LFP"
      ]
    },
    {
      "page": "Lin",
      "title": "Linear Prior with Independent Normal Errors",
      "topics": [
        "Lin"
      ]
    },
    {
      "page": "Lin_AR",
      "title": "Linear Prior with Autoregressive Errors",
      "topics": [
        "Lin_AR"
      ]
    },
    {
      "page": "Lin_AR1",
      "title": "Linear Prior with Autoregressive Errors of Order 1",
      "topics": [
        "Lin_AR1"
      ]
    },
    {
      "page": "mod_binom",
      "title": "Specify a Binomial Model",
      "topics": [
        "mod_binom"
      ]
    },
    {
      "page": "mod_norm",
      "title": "Specify a Normal Model",
      "topics": [
        "mod_norm"
      ]
    },
    {
      "page": "mod_pois",
      "title": "Specify a Poisson Model",
      "topics": [
        "mod_pois"
      ]
    },
    {
      "page": "N",
      "title": "Normal Prior",
      "topics": [
        "N"
      ]
    },
    {
      "page": "n_draw.bage_mod",
      "title": "Get the Number of Draws for a Model Object",
      "topics": [
        "n_draw.bage_mod"
      ]
    },
    {
      "page": "NFix",
      "title": "Normal Prior with Fixed Variance",
      "topics": [
        "NFix"
      ]
    },
    {
      "page": "nld_expenditure",
      "title": "Per Capita Health Expenditure in the Netherlands, 2003-2011",
      "topics": [
        "nld_expenditure"
      ]
    },
    {
      "page": "nzl_divorces",
      "title": "Divorces in New Zealand",
      "topics": [
        "nzl_divorces"
      ]
    },
    {
      "page": "nzl_households",
      "title": "People in One-Person Households in New Zealand",
      "topics": [
        "nzl_households"
      ]
    },
    {
      "page": "nzl_injuries",
      "title": "Fatal Injuries in New Zealand",
      "topics": [
        "nzl_injuries"
      ]
    },
    {
      "page": "print.bage_mod",
      "title": "Printing a Model",
      "topics": [
        "print.bage_mod"
      ]
    },
    {
      "page": "priors",
      "title": "Priors for Intercept, Main Effects, Interactions",
      "topics": [
        "priors"
      ]
    },
    {
      "page": "prt_deaths",
      "title": "Deaths in Portugal",
      "topics": [
        "prt_deaths"
      ]
    },
    {
      "page": "replicate_data",
      "title": "Create Replicate Data",
      "topics": [
        "replicate_data"
      ]
    },
    {
      "page": "report_sim",
      "title": "Simulation Study of a Model",
      "topics": [
        "report_sim"
      ]
    },
    {
      "page": "RW",
      "title": "Random Walk Prior",
      "topics": [
        "RW"
      ]
    },
    {
      "page": "RW_Seas",
      "title": "Random Walk Prior with Seasonal Effect",
      "topics": [
        "RW_Seas"
      ]
    },
    {
      "page": "RW2",
      "title": "Second-Order Random Walk Prior",
      "topics": [
        "RW2"
      ]
    },
    {
      "page": "RW2_AR",
      "title": "Second-Order Random Walk Prior with Autoregressive Errors",
      "topics": [
        "RW2_AR"
      ]
    },
    {
      "page": "RW2_AR1",
      "title": "Second-Order Random Walk Prior with First Order Autoregressive Errors",
      "topics": [
        "RW2_AR1"
      ]
    },
    {
      "page": "RW2_Infant",
      "title": "Second-Order Random Walk Prior with 'Infant' Indicator",
      "topics": [
        "RW2_Infant"
      ]
    },
    {
      "page": "RW2_Seas",
      "title": "Second-Order Random Walk Prior with Seasonal Effect",
      "topics": [
        "RW2_Seas"
      ]
    },
    {
      "page": "set_confidential_rr3",
      "title": "Specify RR3 Confidentialization",
      "topics": [
        "set_confidential_rr3"
      ]
    },
    {
      "page": "set_covariates",
      "title": "Specify Covariates",
      "topics": [
        "set_covariates"
      ]
    },
    {
      "page": "set_datamod_exposure",
      "title": "Specify Exposure Data Model",
      "topics": [
        "set_datamod_exposure"
      ]
    },
    {
      "page": "set_datamod_miscount",
      "title": "Specify Miscount Data Model",
      "topics": [
        "set_datamod_miscount"
      ]
    },
    {
      "page": "set_datamod_noise",
      "title": "Specify Noise Data Model",
      "topics": [
        "set_datamod_noise"
      ]
    },
    {
      "page": "set_datamod_outcome_rr3",
      "title": "Specify RR3 Data Model",
      "topics": [
        "set_datamod_outcome_rr3"
      ]
    },
    {
      "page": "set_datamod_overcount",
      "title": "Specify Overcount Data Model",
      "topics": [
        "set_datamod_overcount"
      ]
    },
    {
      "page": "set_datamod_undercount",
      "title": "Specify Undercount Data Model",
      "topics": [
        "set_datamod_undercount"
      ]
    },
    {
      "page": "set_disp",
      "title": "Specify Prior for Dispersion or Standard Deviation",
      "topics": [
        "set_disp"
      ]
    },
    {
      "page": "set_n_draw",
      "title": "Specify Number of Draws from Prior or Posterior Distribution",
      "topics": [
        "set_n_draw"
      ]
    },
    {
      "page": "set_prior",
      "title": "Specify Prior for Model Term",
      "topics": [
        "set_prior"
      ]
    },
    {
      "page": "set_seeds",
      "title": "Reset Random Seeds in Model Object",
      "topics": [
        "set_seeds"
      ]
    },
    {
      "page": "set_var_age",
      "title": "Specify Age Variable",
      "topics": [
        "set_var_age"
      ]
    },
    {
      "page": "set_var_sexgender",
      "title": "Specify Sex or Gender Variable",
      "topics": [
        "set_var_sexgender"
      ]
    },
    {
      "page": "set_var_time",
      "title": "Specify Time Variable",
      "topics": [
        "set_var_time"
      ]
    },
    {
      "page": "Sp",
      "title": "P-Spline Prior",
      "topics": [
        "Sp"
      ]
    },
    {
      "page": "ssvd",
      "title": "Create Object to Hold Data from a Scaled SVD",
      "topics": [
        "ssvd"
      ]
    },
    {
      "page": "SVD",
      "title": "SVD-Based Prior for Age or Age-Sex Profiles",
      "topics": [
        "SVD"
      ]
    },
    {
      "page": "SVD_AR",
      "title": "Dynamic SVD-Based Priors for Age Profiles or Age-Sex Profiles",
      "topics": [
        "SVD_AR",
        "SVD_AR1",
        "SVD_DRW",
        "SVD_DRW2",
        "SVD_Lin",
        "SVD_RW",
        "SVD_RW2"
      ]
    },
    {
      "page": "svds",
      "title": "Scaled SVDs",
      "topics": [
        "svds"
      ]
    },
    {
      "page": "swe_infant",
      "title": "Infant Mortality in Sweden",
      "topics": [
        "swe_infant"
      ]
    },
    {
      "page": "tidy.bage_mod",
      "title": "Summarize Terms from a Fitted Model",
      "topics": [
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    },
    {
      "page": "unfit",
      "title": "Unfit a Model",
      "topics": [
        "unfit"
      ]
    },
    {
      "page": "usa_deaths",
      "title": "Accidental Deaths in the USA",
      "topics": [
        "usa_deaths"
      ]
    },
    {
      "page": "WMD_C",
      "title": "Scaled SVD Components from World Marriage Database",
      "topics": [
        "WMD_C",
        "WMD_E"
      ]
    }
  ],
  "_readme": "https://github.com/bayesiandemography/bage/raw/HEAD/README.md",
  "_rundeps": [
    "cli",
    "cpp11",
    "generics",
    "glue",
    "lattice",
    "lifecycle",
    "magrittr",
    "Matrix",
    "matrixStats",
    "pillar",
    "pkgconfig",
    "poputils",
    "Rcpp",
    "RcppEigen",
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    "rvec",
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  "_sysdeps": [
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      "package": "libstdc++6",
      "source": "gcc",
      "version": "16-20260322-1ubuntu1",
      "name": "c++",
      "homepage": "http://gcc.gnu.org/",
      "description": "GNU Standard C++ Library v3"
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  ],
  "_vignettes": [
    {
      "source": "vig01_intro.Rmd",
      "filename": "vig01_intro.html",
      "title": "Overview",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Preliminaries",
        "Packages",
        "Data",
        "Specifying a model",
        "Functions for specifying models",
        "Model structure",
        "Printing the model object",
        "Fitting a model",
        "fit()",
        "Reprinting the model object",
        "Extracting outputs",
        "Extractor functions",
        "augment()",
        "components()",
        "Posterior samples",
        "Rvecs",
        "Graphing outputs",
        "Priors",
        "Priors in Bayesian models",
        "Current priors in bage",
        "Defaults",
        "SVD-based priors",
        "Covariates",
        "Forecasting",
        "Imputation",
        "Data models",
        "Confidentialization",
        "Model checking",
        "Replicate data",
        "Simulation studies",
        "Prior predictive checks",
        "Future development of bage",
        "Future features",
        "Experimental status",
        "Bug reports and feature requests"
      ],
      "created": "2025-10-01 02:53:35",
      "modified": "2026-01-09 05:51:04",
      "commits": 8
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