{ "_id": "6a25457a4b233be19839aa9b", "Package": "eco", "Version": "4.0-6", "Date": "2025-12-08", "Title": "Ecological Inference in 2x2 Tables", "Authors@R": "c(\nperson(\"Kosuke\", \"Imai\", , \"imai@Harvard.Edu\", c(\"aut\", \"cre\")),\nperson(\"Ying\", \"Lu\", , \"ying.lu@nyu.edu\", c(\"aut\")),\nperson(\"Aaron\", \"Strauss\", , \"aaronbstrauss@gmail.com\", c(\"aut\")),\nperson(\"Hubert\", \"Jin\", , \"hubertj@princeton.edu\", c(\"ctb\"))\n)", "Maintainer": "Kosuke Imai ", "Description": "Implements the Bayesian and likelihood methods proposed in\nImai, Lu, and Strauss (2008 ) and (2011\n) for ecological inference in 2 by 2\ntables as well as the method of bounds introduced by Duncan and\nDavis (1953). The package fits both parametric and\nnonparametric models using either the Expectation-Maximization\nalgorithms (for likelihood models) or the Markov chain Monte\nCarlo algorithms (for Bayesian models). For all models, the\nindividual-level data can be directly incorporated into the\nestimation whenever such data are available. Along with\nin-sample and out-of-sample predictions, the package also\nprovides a functionality which allows one to quantify the\neffect of data aggregation on parameter estimation and\nhypothesis testing under the parametric likelihood models.", "LazyLoad": "yes", "LazyData": "yes", "License": "GPL (>= 2)", "URL": "https://github.com/kosukeimai/eco", "BugReports": "https://github.com/kosukeimai/eco/issues", "RoxygenNote": "7.3.3", "Repository": "https://kosukeimai.r-universe.dev", "Date/Publication": "2025-12-09 02:31:57 UTC", "RemoteUrl": "https://github.com/kosukeimai/eco", "RemoteRef": "HEAD", "RemoteSha": "cb7cbe37a6181a271a11fdf58a4f1d6dba83b8fb", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-06-07 10:12:38 UTC", "User": "root" }, "Author": "Kosuke Imai [aut, cre],\nYing Lu [aut],\nAaron Strauss [aut],\nHubert Jin [ctb]", "MD5sum": "2e3c1d4bb5b5ba23506546500cc995ca", "_user": "kosukeimai", "_type": "src", "_file": "eco_4.0-6.tar.gz", "_fileid": 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