{ "_id": "6a1edc6bb401979e7340fcc9", "Package": "emdi", "Title": "Estimating and Mapping Disaggregated Indicators", "Version": "2.2.3", "Date": "2025-08-23", "Authors@R": "c(person(\"Sylvia\", \"Harmening\", role=\"aut\", email = \"sylvia.harmening@fu-berlin.de\"), \nperson(\"Ann-Kristin\", \"Kreutzmann\", role=\"aut\", email=\"ann-kristin.kreutzmann@fu-berlin.de\"),\nperson(\"Soeren\", \"Pannier\", role=c(\"aut\", \"cre\"), email=\"soeren.pannier@fu-berlin.de\"),\nperson(\"Felix\", \"Skarke\", role=(\"aut\"), email=\"f.skarke@fu-berlin.de\"),\nperson(\"Natalia\", \"Rojas-Perilla\", role=\"aut\", email = \"natalia.rojas@fu-berlin.de\"),\nperson(\"Nicola\", \"Salvati\", role=\"aut\", email = \"nicola.salvati@unipi.it\"),\nperson(\"Timo\", \"Schmid\", role=\"aut\", email = \"timo.schmid@fu-berlin.de\"),\nperson(\"Matthias\", \"Templ\", role=\"aut\", email = \"templ@statistik.tuwien.ac.at\"),\nperson(\"Nikos\", \"Tzavidis\", role=\"aut\", email = \"N.TZAVIDIS@soton.ac.uk\"),\nperson(\"Nora\", \"Würz\", role=\"aut\", email = \"nora.wuerz@fu-berlin.de\"))", "Description": "Functions that support estimating, assessing and mapping\nregional disaggregated indicators. So far, estimation methods\ncomprise direct estimation, the model-based unit-level approach\nEmpirical Best Prediction (see \"Small area estimation of\npoverty indicators\" by Molina and Rao (2010)\n), the area-level model (see \"Estimates\nof income for small places: An application of James-Stein\nprocedures to Census Data\" by Fay and Herriot (1979)\n) and various extensions of\nit (adjusted variance estimation methods, log and arcsin\ntransformation, spatial, robust and measurement error models),\nas well as their precision estimates. The assessment of the\nused model is supported by a summary and diagnostic plots. For\na suitable presentation of estimates, map plots can be easily\ncreated. Furthermore, results can easily be exported to excel.\nFor a detailed description of the package and the methods used\nsee \"The R Package emdi for Estimating and Mapping Regionally\nDisaggregated Indicators\" by Kreutzmann et al. (2019)\n and the second package vignette \"A\nFramework for Producing Small Area Estimates Based on\nArea-Level Models in R\".", "License": "GPL-2", "URL": "https://github.com/SoerenPannier/emdi", "LazyData": "true", "Encoding": "UTF-8", "Copyright": "inst/COPYRIGHTS", "RoxygenNote": "7.3.2", "VignetteBuilder": "R.rsp", "Config/pak/sysreqs": "libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev\nmake libicu-dev libuv1-dev libxml2-dev libssl-dev libproj-dev\nlibsqlite3-dev libudunits2-dev", "Repository": "https://soerenpannier.r-universe.dev", "Date/Publication": "2025-08-23 17:57:56 UTC", "RemoteUrl": "https://github.com/soerenpannier/emdi", "RemoteRef": "HEAD", "RemoteSha": "678fab1e395111f7513122239fa13780aa683228", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-20 08:34:59 UTC", "User": "root" }, "Author": "Sylvia Harmening [aut],\nAnn-Kristin Kreutzmann [aut],\nSoeren Pannier [aut, cre],\nFelix Skarke [aut],\nNatalia Rojas-Perilla [aut],\nNicola Salvati [aut],\nTimo Schmid 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