{ "_id": "6a490ec4b5e98c4082a07dcf", "Package": "acepack", "Version": "1.6.3", "Authors@R": "c(person(given = \"Phil\",\nfamily = \"Spector\",\nrole = \"aut\"),\nperson(given = \"Jerome\",\nfamily = \"Friedman\",\nrole = \"aut\"),\nperson(given = \"Robert\",\nfamily = \"Tibshirani\",\nrole = \"aut\"),\nperson(given = \"Thomas\",\nfamily = \"Lumley\",\nrole = \"aut\"),\nperson(\"Shawn\", \"Garbett\", email = \"shawn.garbett@vumc.org\",\ncomment = c(ORCID=\"0000-0003-4079-5621\"),\nrole = c(\"cre\",\"aut\")),\nperson(given = \"Jonathan\",\nfamily = \"Baron\",\nrole = \"aut\"),\nperson(\"Bernhard\", \"Klar\",\nemail = \"bernhard.klar@kit.edu\",\nrole = \"aut\"),\nperson(\"Scott\", \"Chasalow\",\nemail = \"Scott.Chasalow@users.pv.wau.nl\",\nrole = \"aut\")\n)", "Description": "Two nonparametric methods for multiple regression\ntransform selection are provided. The first, Alternating\nConditional Expectations (ACE), is an algorithm to find the\nfixed point of maximal correlation, i.e. it finds a set of\ntransformed response variables that maximizes R^2 using\nsmoothing functions [see Breiman, L., and J.H. Friedman. 1985.\n\"Estimating Optimal Transformations for Multiple Regression and\nCorrelation\". Journal of the American Statistical Association.\n80:580-598. ]. Also\nincluded is the Additivity Variance Stabilization (AVAS) method\nwhich works better than ACE when correlation is low [see\nTibshirani, R. 1986. \"Estimating Transformations for Regression\nvia Additivity and Variance Stabilization\". Journal of the\nAmerican Statistical Association. 83:394-405.\n]. A good introduction to\nthese two methods is in chapter 16 of Frank Harrell's\n\"Regression Modeling Strategies\" in the Springer Series in\nStatistics. A permutation independence test is included from\n[Holzmann, H., Klar, B. 2025. \"Lancaster correlation - a new\ndependence measure linked to maximum correlation\". Scandinavian\nJournal of Statistics. 52(1):145-169 ].", "Title": "ACE and AVAS for Selecting Multiple Regression Transformations", "License": "MIT + file LICENSE", "NeedsCompilation": "yes", "RoxygenNote": "7.3.2", "Encoding": "UTF-8", "Packaged": { "Date": "2026-07-04 13:41:09 UTC", "User": "root" }, "Author": "Phil Spector [aut], Jerome Friedman [aut], Robert Tibshirani\n[aut], Thomas Lumley [aut], Shawn Garbett [cre, aut] (ORCID:\n), Jonathan Baron [aut],\nBernhard Klar [aut], Scott Chasalow [aut]", "Maintainer": "Shawn Garbett ", "Repository": "https://spgarbet.r-universe.dev", "Date/Publication": "2025-08-29 14:30:08 UTC", "RemoteUrl": "https://github.com/cran/acepack", "RemoteRef": "HEAD", "RemoteSha": "d15fc8b0069775e772ba94a3318139ae9c9e2a9d", "_user": "spgarbet", "_type": "src", "_file": "acepack_1.6.3.tar.gz", "_fileid": "https://r2.ropensci.org/1cae6f9d44d99cfaf9909e4b96db69074c03badf765b20b171ac33dced7d6b23", "_filesize": 164881, "_sha256": 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