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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": "2026-09-26 10:26:47 UTC",
    "User": "root"
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  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2025-08-26 21:50:02 UTC",
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    "extra/citation.json",
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    "eblupRY",
    "geo_ratios",
    "mvrnormSeries",
    "vcovgen"
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      "title": "Small Area Estimation: Time-Series Models.",
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        "sae2"
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      "title": "Internal fitting function for Dynamic and Rao-Yu models",
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      "page": "eblupDyn",
      "title": "EBLUP Fit of the Dynamic and Rao-Yu Time Series Models",
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        "eblupRY"
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      "title": "Compute rates or ratios for a set of geographic entities over a set of years",
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    },
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      "title": "Generate data under the Dynamic or Rao-Yu Time Series Models",
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    },
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      "title": "Estimate variance/covariance matrices using linear substitutes",
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