{ "_id": "6a1d41a61d7bb097a0a40c96", "Package": "Amelia", "Version": "1.8.3", "Date": "2024-11-07", "Title": "A Program for Missing Data", "Authors@R": "c(\nperson(\"James\", \"Honaker\", email = \"james@hona.kr\", role = c(\"aut\")),\nperson(\"Gary\", \"King\", email = \"king@harvard.edu\", role = c(\"aut\")),\nperson(\"Matthew\", \"Blackwell\", email = \"mblackwell@gmail.com\",\nrole = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0002-3689-9527\"))\n)", "Description": "A tool that \"multiply imputes\" missing data in a single\ncross-section (such as a survey), from a time series (like\nvariables collected for each year in a country), or from a\ntime-series-cross-sectional data set (such as collected by\nyears for each of several countries). Amelia II implements our\nbootstrapping-based algorithm that gives essentially the same\nanswers as the standard IP or EMis approaches, is usually\nconsiderably faster than existing approaches and can handle\nmany more variables. 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