{ "_id": "6a23c32a530b9bc726bdd4c5", "Package": "feisr", "Title": "Estimating Fixed Effects Individual Slope Models", "Version": "1.3.1", "URL": "https://github.com/ruettenauer/feisr", "BugReports": "https://github.com/ruettenauer/feisr/issues", "Author": "Tobias Ruettenauer [aut, cre]\n(), Volker Ludwig [aut]\n()", "Maintainer": "Tobias Ruettenauer ", "Authors@R": "c(\tperson(\"Tobias\", \"Ruettenauer\", email = \"ruettenauer@sowi.uni-kl.de\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0001-5747-9735\")),\nperson(\"Volker\", \"Ludwig\", email = \"ludwig@sowi.uni-kl.de\", role = c(\"aut\"), comment = c(ORCID = \"0000-0003-3118-3172\")))", "Description": "Provides the function feis() to estimate fixed effects\nindividual slope (FEIS) models. The FEIS model constitutes a\nmore general version of the often-used fixed effects (FE) panel\nmodel, as implemented in the package 'plm' by Croissant and\nMillo (2008) . In FEIS models, data\nare not only person demeaned like in conventional FE models,\nbut detrended by the predicted individual slope of each person\nor group. Estimation is performed by applying least squares\nlm() to the transformed data. For more details on FEIS models\nsee Bruederl and Ludwig (2015, ISBN:1446252442); Frees (2001)\n; Polachek and Kim (1994)\n; Ruettenauer and Ludwig\n(2020) ; Wooldridge (2010,\nISBN:0262294354). To test consistency of conventional FE and\nrandom effects estimators against heterogeneous slopes, the\npackage also provides the functions feistest() for an\nartificial regression test and bsfeistest() for a bootstrapped\nversion of the Hausman test.", "License": "GPL (>= 2)", "Encoding": "UTF-8", "LazyData": "true", "RdMacros": "Rdpack", "RoxygenNote": "7.3.3", "VignetteBuilder": "knitr", "Repository": "https://ruettenauer.r-universe.dev", "Date/Publication": "2026-02-06 17:08:28 UTC", "RemoteUrl": "https://github.com/ruettenauer/feisr", "RemoteRef": "HEAD", "RemoteSha": "2b819ac4ab2f772909c182a6c52607cb208c234b", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-06 06:46:42 UTC", "User": "root" }, "MD5sum": "351304b0c6112467968da4b3a86e784e", "_user": "ruettenauer", "_type": "src", "_file": "feisr_1.3.1.tar.gz", "_fileid": "eebe3a3a53e3a789c26f5c75dae66bf196b2588fcaf4c2332bd37f84b93ddd15", "_filesize": 817138, "_sha256": 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"object": "mwp", "class": [ "data.frame" ], "fields": [ "id", "year", "lnw", "exp", "expq", "marry", "evermarry", "enrol", "yeduc", "age", "cohort", "yeargr", "yeargr1", "yeargr2", "yeargr3", "yeargr4", "yeargr5" ], "rows": 3100, "table": true, "tojson": true } ], "_help": [ { "page": "feisr-package", "title": "Estimating Fixed Effects Individual Slope Models", "topics": [ "feisr-package" ] }, { "page": "bsfeistest", "title": "Bootstrapped Regression Test", "topics": [ "bsfeistest" ] }, { "page": "detrend", "title": "Detrend data by individual slopes", "topics": [ "detrend" ] }, { "page": "feis", "title": "Fixed Effects Individual Slope Estimator", "topics": [ "coef.feis", "deviance.feis", "df.residual.feis", "feis", "fitted.feis", "formula.feis", "hatvalues.feis", "nobs.feis", "residuals.feis", "sigma.feis", "terms.feis" ] }, { "page": "feistest", "title": "Artificial Regression Test", "topics": [ "feistest" ] }, { "page": "model.matrix.feis", "title": "model.matrix for feis objects", 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