{
  "_id": "6a479b2ee06c18f0a6518466",
  "Package": "hbsaems",
  "Type": "Package",
  "Title": "Hierarchical Bayesian Area-Level Small Area Estimation Models",
  "Version": "1.1.0",
  "Date": "2026-05-31",
  "Authors@R": "c(\nperson(\"Achmad Syahrul\", \"Choir\",\nemail = \"madsyair@stis.ac.id\",\nrole  = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0001-7088-0646\")),\nperson(\"Saniyyah Sri\", \"Nurhayati\",\nrole  = \"aut\"),\nperson(\"Sofi\", \"Zamzanah\",\nrole  = \"aut\"),\nperson(\"Arsyka Laila\", \"Oktalia Siregar\",\nrole  = \"aut\"))",
  "Maintainer": "Achmad Syahrul Choir <madsyair@stis.ac.id>",
  "Description": "Fits area-level Hierarchical Bayesian Small Area\nEstimation models. The methodological foundation follows the\nstandard area-level Small Area Estimation literature, primarily\nRao and Molina (2015, ISBN: 9781118735787)\n<doi:10.1002/9781118735855>, while computational implementation\nis adapted to the parameterisation and prior-specification\nconventions of the 'brms' package <doi:10.18637/jss.v080.i01>,\nwhich targets the Stan back-end. Supports a principled Bayesian\nworkflow <doi:10.48550/arXiv.2011.01808>, with prior predictive\nchecks, convergence diagnostics, model comparison, spatial\nrandom effects, custom distributions, missing-data handling,\nand a bilingual 'shiny' application for non-programmer\nanalysts.",
  "License": "GPL (>= 3)",
  "URL": "https://madsyair.github.io/hbsaems/,\nhttps://github.com/madsyair/hbsaems",
  "BugReports": "https://github.com/madsyair/hbsaems/issues",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "VignetteBuilder": "knitr",
  "Config/testthat/edition": "3",
  "Roxygen": "list(markdown = FALSE)",
  "Language": "en-US",
  "NeedsCompilation": "no",
  "Config/roxygen2/version": "8.0.0",
  "RoxygenNote": "8.0.0",
  "Packaged": {
    "Date": "2026-07-03 09:00:59 UTC",
    "User": "root"
  },
  "Author": "Achmad Syahrul Choir [aut, cre]\n(<https://orcid.org/0000-0001-7088-0646>), Saniyyah Sri\nNurhayati [aut], Sofi Zamzanah [aut], Arsyka Laila Oktalia\nSiregar [aut]",
  "Config/pak/sysreqs": "cmake make libicu-dev libx11-dev zlib1g-dev",
  "Repository": "https://madsyair.r-universe.dev",
  "Date/Publication": "2026-06-01 12:48:42 UTC",
  "RemoteUrl": "https://github.com/madsyair/hbsaems",
  "RemoteRef": "HEAD",
  "RemoteSha": "21eff3ec5c87a38de7c315239f58d009bc4e0f58",
  "_user": "madsyair",
  "_type": "src",
  "_file": "hbsaems_1.1.0.tar.gz",
  "_fileid": "https://r2.ropensci.org/720d569f30bca4e78888a7bea40c7cd39d9894a9854765a6ee4260faf271d1bb",
  "_filesize": 964671,
  "_sha256": "720d569f30bca4e78888a7bea40c7cd39d9894a9854765a6ee4260faf271d1bb",
  "_expires": "2026-10-11T11:21:18.000Z",
  "_created": "2026-07-03T09:00:59.000Z",
  "_published": "2026-07-03T11:21:18.635Z",
  "_jobs": [
    {
      "job": 84989237593,
      "time": 304,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "8062387210"
    },
    {
      "job": 84989237030,
      "time": 280,
      "config": "linux-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "8062378715"
    },
    {
      "job": 84989237107,
      "time": 148,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "8062331159"
    },
    {
      "job": 84989237003,
      "time": 194,
      "config": "macos-release-arm64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "8062347735"
    },
    {
      "job": 84989237021,
      "time": 363,
      "config": "source",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "8062276505"
    },
    {
      "job": 84989237328,
      "time": 223,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "8062358128"
    },
    {
      "job": 84989237076,
      "time": 210,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "8062353999"
    },
    {
      "job": 84989237575,
      "time": 200,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "8062350027"
    },
    {
      "job": 84989237344,
      "time": 187,
      "config": "windows-release",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "8062345289"
    }
  ],
  "_host": "GitHub-Actions",
  "_buildurl": "https://github.com/r-universe/madsyair/actions/runs/28649784844",
  "_status": "success",
  "_upstream": "https://github.com/madsyair/hbsaems",
  "_commit": {
    "id": "21eff3ec5c87a38de7c315239f58d009bc4e0f58",
    "author": "madsyair <madsyair@stis.ac.id>",
    "committer": "madsyair <madsyair@stis.ac.id>",
    "message": "deleted\n",
    "time": 1780318122
  },
  "_maintainer": {
    "name": "Achmad Syahrul Choir",
    "email": "madsyair@stis.ac.id",
    "login": "madsyair",
    "orcid": "0000-0001-7088-0646",
    "twitter": "@madsyair",
    "description": "",
    "uuid": 9244786
  },
  "_distro": "resolute",
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.0.0",
      "role": "Depends"
    },
    {
      "package": "brms",
      "version": ">= 2.18.0",
      "role": "Imports"
    },
    {
      "package": "coda",
      "version": ">= 0.19-4",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
      "version": ">= 3.3.5",
      "role": "Imports"
    },
    {
      "package": "mice",
      "version": ">= 3.14.0",
      "role": "Imports"
    },
    {
      "package": "rstantools",
      "version": ">= 2.4.0",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "utils",
      "role": "Imports"
    },
    {
      "package": "bayesplot",
      "role": "Suggests"
    },
    {
      "package": "bridgesampling",
      "role": "Suggests"
    },
    {
      "package": "DT",
      "role": "Suggests"
    },
    {
      "package": "energy",
      "role": "Suggests"
    },
    {
      "package": "knitr",
      "version": ">= 1.40",
      "role": "Suggests"
    },
    {
      "package": "loo",
      "role": "Suggests"
    },
    {
      "package": "mgcv",
      "role": "Suggests"
    },
    {
      "package": "minerva",
      "role": "Suggests"
    },
    {
      "package": "mockery",
      "role": "Suggests"
    },
    {
      "package": "posterior",
      "role": "Suggests"
    },
    {
      "package": "priorsense",
      "role": "Suggests"
    },
    {
      "package": "readxl",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "version": ">= 2.16",
      "role": "Suggests"
    },
    {
      "package": "rstan",
      "role": "Suggests"
    },
    {
      "package": "sf",
      "role": "Suggests"
    },
    {
      "package": "shiny",
      "role": "Suggests"
    },
    {
      "package": "shinydashboard",
      "version": ">= 0.7.2",
      "role": "Suggests"
    },
    {
      "package": "shinyWidgets",
      "role": "Suggests"
    },
    {
      "package": "shinytest2",
      "role": "Suggests"
    },
    {
      "package": "spdep",
      "role": "Suggests"
    },
    {
      "package": "spelling",
      "version": ">= 2.2",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "version": ">= 3.0.0",
      "role": "Suggests"
    }
  ],
  "_owner": "madsyair",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2025-27",
      "n": 25
    },
    {
      "week": "2025-28",
      "n": 7
    },
    {
      "week": "2025-29",
      "n": 1
    },
    {
      "week": "2025-30",
      "n": 4
    },
    {
      "week": "2026-20",
      "n": 39
    },
    {
      "week": "2026-21",
      "n": 3
    },
    {
      "week": "2026-22",
      "n": 1
    },
    {
      "week": "2026-23",
      "n": 3
    }
  ],
  "_tags": [
    {
      "name": "hbsae",
      "date": "2025-07-27"
    },
    {
      "name": "v1.0.0",
      "date": "2026-05-16"
    }
  ],
  "_stars": 1,
  "_contributors": [
    {
      "user": "madsyair",
      "count": 112,
      "uuid": 9244786
    }
  ],
  "_userbio": {
    "uuid": 9244786,
    "type": "user",
    "name": "Achmad Syahrul Choir",
    "followers": 2
  },
  "_downloads": {
    "count": 479,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/hbsaems"
  },
  "_devurl": "https://github.com/madsyair/hbsaems",
  "_pkgdown": "https://madsyair.github.io/hbsaems/",
  "_searchresults": 58,
  "_rbuild": "4.6.1",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/hbsaems.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/madsyair/hbsaems",
  "_realowner": "madsyair",
  "_cranurl": true,
  "_releases": [
    {
      "version": "0.1.1",
      "date": "2025-07-18"
    },
    {
      "version": "1.0.0",
      "date": "2026-05-25"
    },
    {
      "version": "1.1.0",
      "date": "2026-06-01"
    }
  ],
  "_exports": [
    "brms_custom_loglogistic",
    "brms_custom_shifted_loglogistic",
    "build_brms_custom_family",
    "build_spatial_weight",
    "check_data",
    "check_shiny_deps",
    "check_spatial_weight",
    "convergence_check",
    "diagnostic_summary",
    "dloglogistic",
    "dshifted_loglogistic",
    "get_hbsae_model",
    "hbcc",
    "hbm",
    "hbm_betalogitnorm",
    "hbm_binlogitnorm",
    "hbm_control",
    "hbm_data",
    "hbm_flex",
    "hbm_info",
    "hbm_lnln",
    "hbm_nonlinear",
    "hbm_priors",
    "hbm_warnings",
    "hbmc",
    "hbmfit",
    "hbpc",
    "hbsae",
    "is_converged",
    "is.hbcc_results",
    "is.hbmc_results",
    "is.hbmfit",
    "is.hbpc_results",
    "is.hbsae_results",
    "is.hbsaems_check",
    "list_hbsae_models",
    "log_lik_loglogistic",
    "log_lik_shifted_loglogistic",
    "model_average",
    "model_compare",
    "model_compare_all",
    "ploglogistic",
    "posterior_draws",
    "posterior_epred_loglogistic",
    "posterior_epred_shifted_loglogistic",
    "posterior_interval",
    "posterior_predict_loglogistic",
    "posterior_predict_shifted_loglogistic",
    "posterior_summary_hbm",
    "prior_check",
    "prior_draws",
    "prior_sensitivity",
    "pshifted_loglogistic",
    "qloglogistic",
    "qshifted_loglogistic",
    "read_stan_function",
    "register_hbsae_brms_custom",
    "register_hbsae_model",
    "rloglogistic",
    "rshifted_loglogistic",
    "run_sae_app",
    "sae_aggregate",
    "sae_benchmark",
    "sae_filter",
    "sae_predict",
    "sae_scale",
    "sae_transform",
    "tr",
    "tr_keys",
    "tr_langs",
    "update_hbm",
    "validate_hbmfit"
  ],
  "_datasets": [
    {
      "name": "adjacency_matrix_car",
      "title": "Province-level Adjacency Matrix",
      "object": "adjacency_matrix_car",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [
        "province_01",
        "province_02",
        "province_03",
        "province_04",
        "province_05"
      ],
      "rows": 5,
      "table": true,
      "tojson": true
    },
    {
      "name": "adjacency_matrix_car_regency",
      "title": "Regency-level Adjacency Matrix (Coarse Spatial Cluster)",
      "object": "adjacency_matrix_car_regency",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [
        "regency_01",
        "regency_02",
        "regency_03",
        "regency_04",
        "regency_05"
      ],
      "rows": 5,
      "table": true,
      "tojson": true
    },
    {
      "name": "data_betalogitnorm",
      "title": "Simulated Beta Logit-Normal Data",
      "object": "data_betalogitnorm",
      "class": [
        "data.frame"
      ],
      "fields": [
        "y",
        "theta",
        "x1",
        "x2",
        "x3",
        "n",
        "deff",
        "regency",
        "province"
      ],
      "rows": 100,
      "table": true,
      "tojson": true
    },
    {
      "name": "data_binlogitnorm",
      "title": "Simulated Binomial Logit-Normal Data",
      "object": "data_binlogitnorm",
      "class": [
        "data.frame"
      ],
      "fields": [
        "n",
        "y",
        "p",
        "x1",
        "x2",
        "x3",
        "u_true",
        "eta_true",
        "p_true",
        "psi_i",
        "y_obs",
        "p_obs",
        "district",
        "regency"
      ],
      "rows": 100,
      "table": true,
      "tojson": true
    },
    {
      "name": "data_fhnorm",
      "title": "Simulated Fay-Herriot Normal Data",
      "object": "data_fhnorm",
      "class": [
        "data.frame"
      ],
      "fields": [
        "y",
        "D",
        "x1",
        "x2",
        "x3",
        "theta_true",
        "u",
        "regency",
        "province"
      ],
      "rows": 100,
      "table": true,
      "tojson": true
    },
    {
      "name": "data_lnln",
      "title": "Simulated Lognormal-Lognormal Data",
      "object": "data_lnln",
      "class": [
        "data.frame"
      ],
      "fields": [
        "district",
        "x1",
        "x2",
        "x3",
        "u_true",
        "teta_true",
        "mu_orig_true",
        "n",
        "y_obs",
        "lambda_dir",
        "y_log_obs",
        "psi_i",
        "regency"
      ],
      "rows": 100,
      "table": true,
      "tojson": true
    },
    {
      "name": "spatial_weight_sar",
      "title": "Spatial Weight Matrix for Simultaneous Autoregressive Models",
      "object": "spatial_weight_sar",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [
        "regency_001",
        "regency_002",
        "regency_003",
        "regency_004",
        "regency_005",
        "regency_006",
        "regency_007",
        "regency_008",
        "regency_009",
        "regency_010",
        "regency_011",
        "regency_012",
        "regency_013",
        "regency_014",
        "regency_015",
        "regency_016",
        "regency_017",
        "regency_018",
        "regency_019",
        "regency_020",
        "regency_021",
        "regency_022",
        "regency_023",
        "regency_024",
        "regency_025",
        "regency_026",
        "regency_027",
        "regency_028",
        "regency_029",
        "regency_030",
        "regency_031",
        "regency_032",
        "regency_033",
        "regency_034",
        "regency_035",
        "regency_036",
        "regency_037",
        "regency_038",
        "regency_039",
        "regency_040",
        "regency_041",
        "regency_042",
        "regency_043",
        "regency_044",
        "regency_045",
        "regency_046",
        "regency_047",
        "regency_048",
        "regency_049",
        "regency_050",
        "regency_051",
        "regency_052",
        "regency_053",
        "regency_054",
        "regency_055",
        "regency_056",
        "regency_057",
        "regency_058",
        "regency_059",
        "regency_060",
        "regency_061",
        "regency_062",
        "regency_063",
        "regency_064",
        "regency_065",
        "regency_066",
        "regency_067",
        "regency_068",
        "regency_069",
        "regency_070",
        "regency_071",
        "regency_072",
        "regency_073",
        "regency_074",
        "regency_075",
        "regency_076",
        "regency_077",
        "regency_078",
        "regency_079",
        "regency_080",
        "regency_081",
        "regency_082",
        "regency_083",
        "regency_084",
        "regency_085",
        "regency_086",
        "regency_087",
        "regency_088",
        "regency_089",
        "regency_090",
        "regency_091",
        "regency_092",
        "regency_093",
        "regency_094",
        "regency_095",
        "regency_096",
        "regency_097",
        "regency_098",
        "regency_099",
        "regency_100"
      ],
      "rows": 100,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "adjacency_matrix_car",
      "title": "Province-level Adjacency Matrix",
      "topics": [
        "adjacency_matrix_car"
      ]
    },
    {
      "page": "adjacency_matrix_car_regency",
      "title": "Regency-level Adjacency Matrix (Coarse Spatial Cluster)",
      "topics": [
        "adjacency_matrix_car_regency"
      ]
    },
    {
      "page": "brms_custom_loglogistic",
      "title": "Loglogistic as a Custom Distribution Family for brms",
      "topics": [
        "brms_custom_loglogistic"
      ]
    },
    {
      "page": "brms_custom_shifted_loglogistic",
      "title": "Shifted Loglogistic as a Custom Distribution Family for brms",
      "topics": [
        "brms_custom_shifted_loglogistic"
      ]
    },
    {
      "page": "build_brms_custom_family",
      "title": "Build a brms Custom Family + Stanvars Pair from a Single Spec",
      "topics": [
        "build_brms_custom_family"
      ]
    },
    {
      "page": "build_spatial_weight",
      "title": "build_spatial_weight: Construct M for CAR / SAR models",
      "topics": [
        "build_spatial_weight"
      ]
    },
    {
      "page": "check_data",
      "title": "Inspect Data Before Fitting an HBSAE Model",
      "topics": [
        "check_data"
      ]
    },
    {
      "page": "check_shiny_deps",
      "title": "Check Shiny App Dependencies",
      "topics": [
        "check_shiny_deps"
      ]
    },
    {
      "page": "check_spatial_weight",
      "title": "Validate a Spatial Weight Matrix Against CAR/SAR Theory",
      "topics": [
        "check_spatial_weight"
      ]
    },
    {
      "page": "convergence_check",
      "title": "MCMC Convergence Diagnostics for Fitted HBMs",
      "topics": [
        "convergence_check"
      ]
    },
    {
      "page": "data_betalogitnorm",
      "title": "Simulated Beta Logit-Normal Data",
      "topics": [
        "data_betalogitnorm"
      ]
    },
    {
      "page": "data_binlogitnorm",
      "title": "Simulated Binomial Logit-Normal Data",
      "topics": [
        "data_binlogitnorm"
      ]
    },
    {
      "page": "data_fhnorm",
      "title": "Simulated Fay-Herriot Normal Data",
      "topics": [
        "data_fhnorm"
      ]
    },
    {
      "page": "data_lnln",
      "title": "Simulated Lognormal-Lognormal Data",
      "topics": [
        "data_lnln"
      ]
    },
    {
      "page": "deprecated",
      "title": "Deprecated Functions",
      "topics": [
        "deprecated",
        "hbcc",
        "hbmc",
        "hbpc",
        "hbsae"
      ]
    },
    {
      "page": "diagnostic_summary",
      "title": "Extract a Diagnostic Summary",
      "topics": [
        "diagnostic_summary"
      ]
    },
    {
      "page": "get_hbsae_model",
      "title": "Inspect a Registered HBSAE Model Specification",
      "topics": [
        "get_hbsae_model"
      ]
    },
    {
      "page": "hbm",
      "title": "hbm: Hierarchical Bayesian Small Area Models",
      "topics": [
        "hbm"
      ]
    },
    {
      "page": "hbm_betalogitnorm",
      "title": "Small Area Estimation Under a Beta Likelihood (Logit-Normal Link)",
      "topics": [
        "hbm_betalogitnorm"
      ]
    },
    {
      "page": "hbm_binlogitnorm",
      "title": "Small Area Estimation under a Binomial Logit-Normal Model",
      "topics": [
        "hbm_binlogitnorm"
      ]
    },
    {
      "page": "hbm_control",
      "title": "Sampler Configuration for HBSAE Models",
      "topics": [
        "hbm_control"
      ]
    },
    {
      "page": "hbm_data",
      "title": "Return the Data Used to Fit an hbmfit",
      "topics": [
        "hbm_data"
      ]
    },
    {
      "page": "hbm_flex",
      "title": "Fit a Flexible HBSAE Model with Any Registered Family",
      "topics": [
        "hbm_flex"
      ]
    },
    {
      "page": "hbm_info",
      "title": "Get Comprehensive Model Information",
      "topics": [
        "hbm_info"
      ]
    },
    {
      "page": "hbm_lnln",
      "title": "Small Area Estimation under a Lognormal-Lognormal Model",
      "topics": [
        "hbm_lnln"
      ]
    },
    {
      "page": "hbm_nonlinear",
      "title": "Nonlinear-Term Configuration for HBSAE Models",
      "topics": [
        "hbm_nonlinear"
      ]
    },
    {
      "page": "hbm_priors",
      "title": "Prior Configuration for HBSAE Models",
      "topics": [
        "hbm_priors"
      ]
    },
    {
      "page": "hbm_warnings",
      "title": "Get Model Warnings",
      "topics": [
        "hbm_warnings"
      ]
    },
    {
      "page": "hbm-info",
      "title": "Model Inspection Helpers",
      "topics": [
        "hbm-info"
      ]
    },
    {
      "page": "hbmfit",
      "title": "User-Facing Helper to Build an hbmfit Object",
      "topics": [
        "hbmfit"
      ]
    },
    {
      "page": "hbmfit-class",
      "title": "The hbmfit S3 Class",
      "topics": [
        "hbmfit-class"
      ]
    },
    {
      "page": "hbmfit-methods",
      "title": "Standard S3 Methods for hbmfit",
      "topics": [
        "hbmfit-methods"
      ]
    },
    {
      "page": "is_converged",
      "title": "Test Whether a Fitted HBM Has Converged",
      "topics": [
        "is_converged"
      ]
    },
    {
      "page": "is-hbsaems",
      "title": "Test Whether an Object Belongs to an hbsaems Result Class",
      "topics": [
        "is-hbsaems",
        "is.hbcc_results",
        "is.hbmc_results",
        "is.hbmfit",
        "is.hbpc_results",
        "is.hbsae_results"
      ]
    },
    {
      "page": "is.hbsaems_check",
      "title": "Test Whether an Object Is an hbsaems Check Result",
      "topics": [
        "is.hbsaems_check"
      ]
    },
    {
      "page": "list_hbsae_models",
      "title": "List Registered HBSAE Models",
      "topics": [
        "list_hbsae_models"
      ]
    },
    {
      "page": "loglogistic",
      "title": "Loglogistic Distribution Functions",
      "topics": [
        "dloglogistic",
        "loglogistic",
        "ploglogistic",
        "qloglogistic",
        "rloglogistic"
      ]
    },
    {
      "page": "model_average",
      "title": "Bayesian Model Averaging on Small-Area Estimates",
      "topics": [
        "model_average"
      ]
    },
    {
      "page": "model_compare",
      "title": "Compare One or Two Fitted HBMs",
      "topics": [
        "model_compare"
      ]
    },
    {
      "page": "model_compare_all",
      "title": "Compare Multiple Fitted HBMs",
      "topics": [
        "model_compare_all"
      ]
    },
    {
      "page": "model-compare",
      "title": "Compare Fitted HBMs",
      "topics": [
        "model-compare"
      ]
    },
    {
      "page": "plot.hbmfit",
      "title": "Plot a Fitted hbmfit Object",
      "topics": [
        "plot.hbmfit"
      ]
    },
    {
      "page": "posterior_draws",
      "title": "Extract Posterior Draws as a Matrix",
      "topics": [
        "posterior_draws"
      ]
    },
    {
      "page": "posterior_interval",
      "title": "Compute Credible Intervals for an hbmfit Object",
      "topics": [
        "posterior_interval",
        "posterior_interval.hbmfit"
      ]
    },
    {
      "page": "posterior_summary_hbm",
      "title": "Comprehensive Posterior Summary",
      "topics": [
        "posterior_summary_hbm"
      ]
    },
    {
      "page": "posterior-methods",
      "title": "Posterior and Prior Extraction Methods for hbmfit",
      "topics": [
        "posterior-methods"
      ]
    },
    {
      "page": "prior_check",
      "title": "Prior Predictive Check for Fitted HBMs",
      "topics": [
        "prior_check"
      ]
    },
    {
      "page": "prior_draws",
      "title": "Extract Prior Draws",
      "topics": [
        "prior_draws",
        "prior_draws.hbmfit"
      ]
    },
    {
      "page": "prior_sensitivity",
      "title": "Power-Scale Prior Sensitivity Diagnostics for Fitted HBMs",
      "topics": [
        "prior_sensitivity"
      ]
    },
    {
      "page": "read_stan_function",
      "title": "Read the Stan Function Code for a Custom Distribution",
      "topics": [
        "read_stan_function"
      ]
    },
    {
      "page": "register_hbsae_brms_custom",
      "title": "Register a brms Custom Family with the hbsaems Model Registry",
      "topics": [
        "register_hbsae_brms_custom"
      ]
    },
    {
      "page": "register_hbsae_model",
      "title": "Register a Custom HBSAE Model",
      "topics": [
        "register_hbsae_model"
      ]
    },
    {
      "page": "run_sae_app",
      "title": "run_sae_app: Interactive Small Area Estimation Application",
      "topics": [
        "run_sae_app"
      ]
    },
    {
      "page": "sae_aggregate",
      "title": "Aggregate Predictions from Multiple hbsae_results",
      "topics": [
        "sae_aggregate"
      ]
    },
    {
      "page": "sae_benchmark",
      "title": "Benchmark Small-Area Estimates to Known Totals",
      "topics": [
        "sae_benchmark"
      ]
    },
    {
      "page": "sae_filter",
      "title": "Filter SAE Predictions by a Logical Condition",
      "topics": [
        "sae_filter"
      ]
    },
    {
      "page": "sae_predict",
      "title": "Generate Small Area Estimates",
      "topics": [
        "sae_predict"
      ]
    },
    {
      "page": "sae_scale",
      "title": "Standardise SAE Predictions",
      "topics": [
        "sae_scale"
      ]
    },
    {
      "page": "sae_transform",
      "title": "Apply a Transformation to SAE Predictions",
      "topics": [
        "sae_transform"
      ]
    },
    {
      "page": "shifted_loglogistic",
      "title": "Shifted (3-Parameter) Loglogistic Distribution",
      "topics": [
        "dshifted_loglogistic",
        "pshifted_loglogistic",
        "qshifted_loglogistic",
        "rshifted_loglogistic",
        "shifted_loglogistic"
      ]
    },
    {
      "page": "spatial_weight_sar",
      "title": "Spatial Weight Matrix for Simultaneous Autoregressive Models",
      "topics": [
        "spatial_weight_sar"
      ]
    },
    {
      "page": "summary.hbsaems_check",
      "title": "Generic Summary Method for hbsaems Check Results",
      "topics": [
        "summary.hbsaems_check"
      ]
    },
    {
      "page": "tr",
      "title": "Translate a UI String for the Shiny SAE App",
      "topics": [
        "tr"
      ]
    },
    {
      "page": "tr_keys",
      "title": "List All Translation Keys (for a Reference Language)",
      "topics": [
        "tr_keys"
      ]
    },
    {
      "page": "tr_langs",
      "title": "List Available Languages",
      "topics": [
        "tr_langs"
      ]
    },
    {
      "page": "update_hbm",
      "title": "Update a Fitted HBM",
      "topics": [
        "update_hbm"
      ]
    },
    {
      "page": "validate_hbmfit",
      "title": "Validate an hbmfit Object",
      "topics": [
        "validate_hbmfit"
      ]
    }
  ],
  "_readme": "https://github.com/madsyair/hbsaems/raw/HEAD/README.md",
  "_rundeps": [
    "abind",
    "backports",
    "bayesplot",
    "BH",
    "bit",
    "bit64",
    "boot",
    "bridgesampling",
    "brms",
    "Brobdingnag",
    "broom",
    "callr",
    "checkmate",
    "cli",
    "clipr",
    "coda",
    "codetools",
    "cpp11",
    "crayon",
    "desc",
    "digest",
    "distributional",
    "dplyr",
    "farver",
    "forcats",
    "foreach",
    "future",
    "future.apply",
    "generics",
    "ggplot2",
    "ggridges",
    "glmnet",
    "globals",
    "glue",
    "gridExtra",
    "gtable",
    "haven",
    "hms",
    "inline",
    "isoband",
    "iterators",
    "jomo",
    "labeling",
    "lattice",
    "lifecycle",
    "listenv",
    "lme4",
    "loo",
    "magrittr",
    "MASS",
    "Matrix",
    "matrixStats",
    "mgcv",
    "mice",
    "minqa",
    "mitml",
    "mvtnorm",
    "nleqslv",
    "nlme",
    "nloptr",
    "nnet",
    "numDeriv",
    "ordinal",
    "otel",
    "pan",
    "parallelly",
    "pillar",
    "pkgbuild",
    "pkgconfig",
    "plyr",
    "posterior",
    "prettyunits",
    "processx",
    "progress",
    "ps",
    "purrr",
    "QuickJSR",
    "R6",
    "rbibutils",
    "RColorBrewer",
    "Rcpp",
    "RcppEigen",
    "RcppParallel",
    "Rdpack",
    "readr",
    "reformulas",
    "reshape2",
    "rlang",
    "rpart",
    "rstan",
    "rstantools",
    "S7",
    "scales",
    "shape",
    "StanHeaders",
    "stringi",
    "stringr",
    "survival",
    "tensorA",
    "tibble",
    "tidyr",
    "tidyselect",
    "tzdb",
    "ucminf",
    "utf8",
    "vctrs",
    "viridisLite",
    "vroom",
    "withr"
  ],
  "_vignettes": [
    {
      "source": "complete-workflow.Rmd",
      "filename": "complete-workflow.html",
      "title": "Complete Workflow with hbsaems 1.1.0",
      "engine": "knitr::rmarkdown",
      "headings": [
        "See also",
        "0. Inspect the data",
        "1. Prior predictive check",
        "2. Fit the model",
        "A small fitted model to demonstrate the rest of the workflow",
        "3. Convergence diagnostics",
        "4. Goodness-of-fit",
        "5. Compare alternatives",
        "6. Small-area estimates",
        "Bayesian model averaging",
        "Visualisations",
        "7. Post-processing predictions",
        "Session info"
      ],
      "created": "2026-05-15 06:40:25",
      "modified": "2026-06-01 12:24:28",
      "commits": 5
    }
  ],
  "_score": 5.365487984890899,
  "_indexed": true,
  "_nocasepkg": "hbsaems",
  "_universes": [
    "madsyair"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.1.0",
      "date": "2026-07-03T09:05:06.000Z",
      "distro": "resolute",
      "commit": "21eff3ec5c87a38de7c315239f58d009bc4e0f58",
      "fileid": "https://r2.ropensci.org/5ea7154ba8dd066e50a0c5844f67f235f304cdd4b4d597364a49389b2667a512",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/madsyair/actions/runs/28649784844"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "1.1.0",
      "date": "2026-07-03T09:04:43.000Z",
      "distro": "resolute",
      "commit": "21eff3ec5c87a38de7c315239f58d009bc4e0f58",
      "fileid": "https://r2.ropensci.org/c247ee5635bda0bc6d58f986e175cccbf627d986f4d5238507737c39bbcb3aa9",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/madsyair/actions/runs/28649784844"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "1.1.0",
      "date": "2026-07-03T09:02:57.000Z",
      "commit": "21eff3ec5c87a38de7c315239f58d009bc4e0f58",
      "fileid": "https://r2.ropensci.org/766f82274e9efde44338fc767c72423cc0251eeeaf4760b429681c6355aae5bc",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/madsyair/actions/runs/28649784844"
    },
    {
      "r": "4.6.1",
      "os": "mac",
      "version": "1.1.0",
      "date": "2026-07-03T09:03:06.000Z",
      "commit": "21eff3ec5c87a38de7c315239f58d009bc4e0f58",
      "fileid": "https://r2.ropensci.org/39cf73c7133ce65aed7ffaeb72a1076364d0dafddf84fd598b411ed509062e0e",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/madsyair/actions/runs/28649784844"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "1.1.0",
      "date": "2026-07-03T09:05:07.000Z",
      "commit": "21eff3ec5c87a38de7c315239f58d009bc4e0f58",
      "fileid": "https://r2.ropensci.org/790b2b2868b778183f6e0f5b914748fbcb6ea0391f7317712f33469f8bf46330",
      "status": "success",
      "buildurl": "https://github.com/r-universe/madsyair/actions/runs/28649784844"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "1.1.0",
      "date": "2026-07-03T09:03:05.000Z",
      "commit": "21eff3ec5c87a38de7c315239f58d009bc4e0f58",
      "fileid": "https://r2.ropensci.org/378735af1788e050e194f764049c9976c8c3c237a431ebc11637933190be65c2",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/madsyair/actions/runs/28649784844"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "1.1.0",
      "date": "2026-07-03T09:03:00.000Z",
      "commit": "21eff3ec5c87a38de7c315239f58d009bc4e0f58",
      "fileid": "https://r2.ropensci.org/e7ea3b5ee236c9f4765781023d2bd63ff804e99cc2ec1ae3b6ab2cfd78686dbb",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/madsyair/actions/runs/28649784844"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "1.1.0",
      "date": "2026-07-03T09:02:54.000Z",
      "commit": "21eff3ec5c87a38de7c315239f58d009bc4e0f58",
      "fileid": "https://r2.ropensci.org/fac027c5b4f1d00d982100fdf43de6261e05ec3205f60023c971a6bd881d6c2e",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/madsyair/actions/runs/28649784844"
    }
  ]
}