{
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  "Package": "sae2",
  "Version": "1.2-2",
  "Date": "2025-08-26",
  "Title": "Small Area Estimation: Time-Series Models",
  "Authors@R": "c(person(given=\"Robert\", family=\"Fay\", role=c(\"aut\", \"cre\"),\nemail=\"bobfay@hotmail.com\"),\nperson(family=\"Diallo\", given=\"Mamadou\", role=\"aut\",\nemail=\"diallo-mamadou@norc.org\"))",
  "Author": "Robert Fay [aut, cre], Mamadou Diallo [aut]",
  "Maintainer": "Robert Fay <bobfay@hotmail.com>",
  "Description": "Time series area-level models for small area estimation.\nThe package supplements the functionality of the sae package.\nSpecifically, it includes EBLUP fitting of the Rao-Yu model in\nthe original form without a spatial component. The package also\noffers a modified (\"dynamic\") version of the Rao-Yu model,\nreplacing the assumption of stationarity. Both univariate and\nmultivariate applications are supported. Of particular note is\nthe allowance for covariance of the area-level sample estimates\nover time, as encountered in rotating panel designs such as the\nU.S. National Crime Victimization Survey or present in a\ntime-series of 5-year estimates from the American Community\nSurvey. Key references to the methods include J.N.K. Rao and I.\nMolina (2015, ISBN:9781118735787), J.N.K. Rao and M. Yu (1994)\n<doi:10.2307/3315407>, and R.E. Fay and R.A. Herriot (1979)\n<doi:10.1080/01621459.1979.10482505>.",
  "License": "GPL-2",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-11 06:44:46 UTC",
    "User": "root"
  },
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2025-08-26 21:50:02 UTC",
  "RemoteUrl": "https://github.com/cran/sae2",
  "RemoteRef": "HEAD",
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  "_buildurl": "https://github.com/r-universe/cran/actions/runs/25654578702",
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  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/cran/sae2",
  "_commit": {
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    "author": "Robert Fay <bobfay@hotmail.com>",
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    "name": "Robert Fay",
    "email": "bobfay@hotmail.com"
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  "_dependencies": [
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      "package": "R",
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      "role": "Depends"
    },
    {
      "package": "MASS",
      "role": "Depends"
    },
    {
      "package": "survey",
      "role": "Depends"
    },
    {
      "package": "stats",
      "role": "Depends"
    },
    {
      "package": "sae",
      "role": "Suggests"
    }
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  "_owner": "cran",
  "_selfowned": false,
  "_usedby": 0,
  "_updates": [
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      "week": "2025-35",
      "n": 1
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  "_tags": [
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  "_userbio": {
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    "type": "organization",
    "name": "cran",
    "description": "Unofficial read-only mirror of all CRAN R packages"
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/sae2"
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  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/sae2.html",
    "manual.pdf"
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  "_realowner": "cran",
  "_cranurl": false,
  "_releases": [
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      "date": "2015-01-26"
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    {
      "version": "1.0-1",
      "date": "2019-07-22"
    },
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      "date": "2023-08-24"
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  "_exports": [
    "eblupDyn",
    "eblupRY",
    "geo_ratios",
    "mvrnormSeries",
    "vcovgen"
  ],
  "_help": [
    {
      "page": "sae2-package",
      "title": "Small Area Estimation: Time-Series Models.",
      "topics": [
        "sae2-package",
        "sae2"
      ]
    },
    {
      "page": "dynRYfit",
      "title": "Internal fitting function for Dynamic and Rao-Yu models",
      "topics": [
        "dynRYfit"
      ]
    },
    {
      "page": "eblupDyn",
      "title": "EBLUP Fit of the Dynamic and Rao-Yu Time Series Models",
      "topics": [
        "eblupDyn",
        "eblupRY"
      ]
    },
    {
      "page": "geo_ratios",
      "title": "Compute rates or ratios for a set of geographic entities over a set of years",
      "topics": [
        "geo_ratios"
      ]
    },
    {
      "page": "mvrnormSeries",
      "title": "Generate data under the Dynamic or Rao-Yu Time Series Models",
      "topics": [
        "mvrnormSeries"
      ]
    },
    {
      "page": "vcovgen",
      "title": "Estimate variance/covariance matrices using linear substitutes",
      "topics": [
        "vcovgen"
      ]
    }
  ],
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    "lattice",
    "MASS",
    "Matrix",
    "minqa",
    "mitools",
    "numDeriv",
    "Rcpp",
    "RcppArmadillo",
    "survey",
    "survival"
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