{ "_id": "6a49469ea788432aeabf387f", "Package": "eiIT", "Title": "Ecological Inference via Information Theory", "Version": "0.0.1-1", "Authors@R": "person(given = \"Jose M.\",\nfamily = \"Pavía\",\nrole = c(\"aut\", \"cre\"),\nemail = \"jose.m.pavia@uv.es\",\ncomment = c(ORCID = \"0000-0002-0129-726X\"))", "Description": "Estimates RxC transfer matrices from aggregated marginal\ndata using a two-stage (GME+IPF) information-theoretic approach\nwithin a two-step (global+local) estimation procedure. The\nresulting matrices are consistent with observed row and column\nmarginals across collections of subtables (e.g. precincts,\npolling stations, or districts). References: Golan, A., Judge,\nG., & Miller, D. (1996). Maximum Entropy Econometrics: Robust\nEstimation with Limited Data. Wiley. Judge, G., Miller, D.J., &\nCho, W.K.T. (2004). An information theoretic approach to\necological estimation and inference. In G. King, O. Rosen, & M.\nA. Tanner (Eds.), Ecological Inference: New Methodological\nStrategies (pp. 162–187). Cambridge University Press.\nMittelhammer, R., Judge, G., & Miller, D. (2000). Econometric\nFoundations. Cambridge University Press. Pavia, J.M. (2023)\n Acknowledgements: The author\nwish to thank Conselleria de Economia, Hacienda y\nAdministracion Publica (grant CIACIO/2023/031) for supporting\nthis research.", "License": "GPL (>= 2)", "Encoding": "UTF-8", "RoxygenNote": "7.3.2", "NeedsCompilation": "no", "Packaged": { "Date": "2026-07-04 17:41:43 UTC", "User": "root" }, "Author": "Jose M. Pavía [aut, cre] (ORCID:\n)", "Maintainer": "Jose M. Pavía ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-06-01 08:40:07 UTC", "RemoteUrl": "https://github.com/cran/eiIT", "RemoteRef": "HEAD", "RemoteSha": "8b33bb740c90eb96b262bb431332c1b34d8eabfb", "_user": "cran", "_type": "src", "_file": "eiIT_0.0.1-1.tar.gz", "_fileid": "https://r2.ropensci.org/667e5281fe27093991a2d12f3c9297e7462ff1e254083d94120668b9ce7ac09e", "_filesize": 226765, "_sha256": "667e5281fe27093991a2d12f3c9297e7462ff1e254083d94120668b9ce7ac09e", "_expires": "2026-10-12T17:44:59.000Z", "_created": "2026-07-04T17:41:43.000Z", "_published": "2026-07-04T17:45:02.107Z", "_jobs": [ { "job": 85153176485, "time": 155, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "8083984775" }, { "job": 85153176484, "time": 110, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "8083979759" }, { "job": 85152998038, "time": 158, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "8083966575" }, { "job": 85153176488, "time": 97, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "8083978276" } ], "_host": "GitHub-Actions", "_buildurl": "https://github.com/r-universe/cran/actions/runs/28714328532", "_status": "success", "_upstream": "https://github.com/cran/eiIT", "_commit": { "id": "8b33bb740c90eb96b262bb431332c1b34d8eabfb", "author": "Jose M. 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