{ "_id": "6ab3b4ca3d719c1f84092da0", "Package": "BivRegBLS", "Type": "Package", "Title": "Tolerance Interval and EIV Regression - Method Comparison\nStudies", "Version": "1.1.1", "Date": "2019-10-10", "Authors@R": "c(person(given=\"Bernard G\",family=\"Francq\",email=\"BivRegBLS@gmail.com\",role=c(\"cre\",\"aut\")),person(given=\"Marion\",family=\"Berger\",email=\"marion.berger@sanofi.com\",role=c(\"aut\")),person(given=\"Christophe\",family=\"Agut\",role=c(\"ctb\")), person(given=\"Guy\",family=\"Mathieu\",role=c(\"ctb\")), person(given=\"Armand\",family=\"Berges\",role=c(\"ctb\")), person(given=\"Franck\",family=\"Pellissier\",role=c(\"ctb\")), person(given=\"Veronique\",family=\"Onado\",role=c(\"ctb\")))", "Maintainer": "Bernard G Francq ", "Description": "Assess the agreement in method comparison studies by\ntolerance intervals and errors-in-variables (EIV) regressions.\nThe Ordinary Least Square regressions (OLSv and OLSh), the\nDeming Regression (DR), and the (Correlated)-Bivariate Least\nSquare regressions (BLS and CBLS) can be used with unreplicated\nor replicated data. The BLS() and CBLS() are the two main\nfunctions to estimate a regression line, while XY.plot() and\nMD.plot() are the two main graphical functions to display,\nrespectively an (X,Y) plot or (M,D) plot with the BLS or CBLS\nresults. Four hyperbolic statistical intervals are provided:\nthe Confidence Interval (CI), the Confidence Bands (CB), the\nPrediction Interval and the Generalized prediction Interval.\nAssuming no proportional bias, the (M,D) plot (Band-Altman\nplot) may be simplified by calculating univariate tolerance\nintervals (beta-expectation (type I) or beta-gamma content\n(type II)). Major updates from last version 1.0.0 are: title\nshortened, include the new functions BLS.fit() and CBLS.fit()\nas shortcut of the, respectively, functions BLS() and CBLS().\nReferences: B.G. Francq, B. Govaerts (2016)\n, B.G. Francq, B. Govaerts (2014)\n, B.G. Francq, B. Govaerts\n(2014)\n,\nB.G. Francq (2013), PhD Thesis, UCLouvain, Errors-in-variables\nregressions to assess equivalence in method comparison studies,\n.", "License": "AGPL-3", "RoxygenNote": "6.1.1", "Encoding": "UTF-8", "NeedsCompilation": "no", "Packaged": { "Date": "2026-09-23 11:12:39 UTC", "User": "root" }, "Author": "Bernard G Francq [cre, aut], Marion Berger [aut], Christophe\nAgut [ctb], Guy Mathieu [ctb], Armand Berges [ctb], Franck\nPellissier [ctb], Veronique Onado [ctb]", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2019-10-10 21:40:06 UTC", "RemoteUrl": "https://github.com/cran/BivRegBLS", "RemoteRef": "HEAD", "RemoteSha": "5ee7f1aac3d63a71d2059b742e8764d03ae4b825", "_user": "cran", "_type": "src", "_file": "BivRegBLS_1.1.1.tar.gz", "_fileid": "https://r2.ropensci.org/6b475f9d9db79674a85c030d0f1a294ff137a3e43b85f10a6b2d22d63520b369", "_filesize": 275567, "_sha256": "6b475f9d9db79674a85c030d0f1a294ff137a3e43b85f10a6b2d22d63520b369", "_expires": "2027-01-01T11:15:19.000Z", 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