{ "_id": "6a10366dacfb0bcc41c9a04b", "Package": "disaggregation", "Type": "Package", "Title": "Disaggregation Modelling", "Version": "0.4.0", "Authors@R": "c(\nperson(\"Anita\", \"Nandi\", email = \"anita.k.nandi@gmail.com\", role = \"aut\", comment = c(ORCID = \"0000-0002-5087-2494\")),\nperson(\"Tim\", \"Lucas\", email = \"timcdlucas@gmail.com\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0003-4694-8107\")),\nperson(\"Rohan\", \"Arambepola\", email = \"rarambepola@gmail.com\", role = \"aut\"),\nperson(\"Andre\", \"Python\", email = \"python.andre@gmail.com\", role = \"aut\", comment = c(ORCID = \"0000-0001-8094-7226\")),\nperson(\"Simon\", \"Smart\", email = \"simon.smart@cantab.net\", role = \"ctb\")\n)", "Description": "Fits disaggregation regression models using 'TMB'\n('Template Model Builder'). When the response data are\naggregated to polygon level but the predictor variables are at\na higher resolution, these models can be useful. 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