{ "_id": "6a140917acfb0bcc41d39fdd", "Package": "ACV", "Title": "Optimal Out-of-Sample Forecast Evaluation and Testing under\nStationarity", "Version": "1.0.2", "Authors@R": "person(given = \"Filip\",\nfamily = \"Stanek\",\nrole = c(\"aut\", \"cre\"),\nemail = \"stanek.fi@gmail.com\")", "Description": "Package 'ACV' (short for Affine Cross-Validation) offers\nan improved time-series cross-validation loss estimator which\nutilizes both in-sample and out-of-sample forecasting\nperformance via a carefully constructed affine weighting\nscheme. Under the assumption of stationarity, the estimator is\nthe best linear unbiased estimator of the out-of-sample loss.\nBesides that, the package also offers improved versions of\nDiebold-Mariano and Ibragimov-Muller tests of equal predictive\nability which deliver more power relative to their conventional\ncounterparts. For more information, see the accompanying\narticle Stanek (2021) .", "License": "GPL (>=3)", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.1.2", "Repository": "https://stanek-fi.r-universe.dev", "Date/Publication": "2022-04-01 12:16:09 UTC", "RemoteUrl": "https://github.com/stanek-fi/acv", "RemoteRef": "HEAD", "RemoteSha": "de3f903845bd97cebb7d54e3665cb866d0ac3bb3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-25 08:29:03 UTC", "User": "root" }, "Author": "Filip Stanek [aut, cre]", "Maintainer": "Filip Stanek ", "MD5sum": "7a9b040ddbeafa5d4264328f2d1c9c3a", "_user": "stanek-fi", "_type": "src", "_file": "ACV_1.0.2.tar.gz", "_fileid": "2389c70cab693f23fa878abfbda8f40ef129e34de39c888c973886ed7215ae38", "_filesize": 95780, "_sha256": "2389c70cab693f23fa878abfbda8f40ef129e34de39c888c973886ed7215ae38", "_created": "2026-05-25T08:29:03.000Z", "_published": "2026-05-25T08:32:23.624Z", "_distro": "noble", "_jobs": [ { "job": 77681114559, "time": 118, 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