{ "_id": "6a589c95ff0138dec5d75c05", "Package": "bfsl", "Title": "Best-Fit Straight Line", "Version": "0.2.1", "Date": "2022-08-26", "Authors@R": "person(\"Patrick\", \"Sturm\", email = \"sturm@tofwerk.com\", role = c(\"aut\", \"cre\"))", "Description": "How to fit a straight line through a set of points with\nerrors in both coordinates? The 'bfsl' package implements the\nYork regression (York, 2004 ). It\nprovides unbiased estimates of the intercept, slope and\nstandard errors for the best-fit straight line to independent\npoints with (possibly correlated) normally distributed errors\nin both x and y. Other commonly used errors-in-variables\nmethods, such as orthogonal distance regression, geometric mean\nregression or Deming regression are special cases of the 'bfsl'\nsolution.", "License": "MIT + file LICENSE", "URL": "https://github.com/pasturm/bfsl", "BugReports": "https://github.com/pasturm/bfsl/issues", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.1.2", "Repository": "https://pasturm.r-universe.dev", "Date/Publication": "2022-08-26 13:44:03 UTC", "RemoteUrl": "https://github.com/pasturm/bfsl", "RemoteRef": "HEAD", "RemoteSha": "9096b1e682b4c007ee7bebf090f5a6797246e606", "NeedsCompilation": "no", "Packaged": { "Date": "2026-07-16 08:52:25 UTC", "User": "root" }, "Author": "Patrick Sturm [aut, cre]", "Maintainer": "Patrick Sturm ", "_user": "pasturm", "_type": "src", "_file": "bfsl_0.2.1.tar.gz", "_fileid": "https://r2.ropensci.org/1374b508f6ef19552d416aadffff12655a93383cb32c7d72a3d28987253566b9", "_filesize": 206157, "_sha256": 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