{ "_id": "6a1f194eb401979e7341eefb", "Package": "eiCircles", "Type": "Package", "Title": "Ecological Inference of RxC Tables by Overdispersed-Multinomial\nModels", "Version": "0.0.1-14", "Authors@R": "c(person(given = \"Antonio\",\nfamily = \"Forcina\",\nrole = \"aut\",\nemail = \"forcinarosara@gmail.com\",\ncomment = c(ORCID = \"0000-0001-5239-5495\")\n),\nperson(given = \"Jose M.\",\nfamily = \"Pavía\",\nrole = c(\"aut\", \"cre\"),\nemail = \"jose.m.pavia@uv.es\",\ncomment = c(ORCID = \"0000-0002-0129-726X\")\n)\n)", "Description": "Estimates RxC (R by C) vote transfer matrices (ecological\ncontingency tables) from aggregate data using the model\ndescribed in Forcina et al. (2012), as extension of the model\nproposed in Brown and Payne (1986). Allows incorporation of\ncovariates. References: Brown, P. and Payne, C. (1986).\n''Aggregate data, ecological regression and voting\ntransitions''. Journal of the American Statistical Association,\n81, 453–460. . Forcina, A.,\nGnaldi, M. and Bracalente, B. (2012). ''A revised Brown and\nPayne model of voting behaviour applied to the 2009 elections\nin Italy''. Statistical Methods & Applications, 21, 109–119.\n. Pavia, J.M, and Forcina, A.\n(2026). ''Simulating electoral behavior''. Modeling Decisions\nfor Artificial Intelligence, MDAI 2025. Lecture Notes in\nComputer Science, vol 15957, Torra, V., Narukawa, Y.,\nDomingo-Ferrer, J. (eds), Springer, Cham, pp. 54-65.\n. Acknowledgements: The\nauthors wish to thank Consellería de Educación, Cultura,\nUniversidades y Empleo, Generalitat Valenciana (grant\nCIAICO/2023/031) and MICIU/AEI/10.13039/501100011033/FEDER, EU\n(grant PID2021-128228NB-I00) for supporting this research.", "License": "GPL (>= 2)", "Encoding": "UTF-8", "RoxygenNote": "7.2.3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-17 05:22:59 UTC", "User": "root" }, "Author": "Antonio Forcina [aut] (ORCID:\n), Jose M. Pavía [aut,\ncre] (ORCID: )", "Maintainer": "Jose M. 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