{ "_id": "6a548430ff0138dec5d64936", "Title": "'Hydropeaking Events Detection Algorithm'", "Package": "HEDA", "Type": "Package", "Version": "0.1.5", "Authors@R": "c(person(\"Tingyu\", \"Li\", email = \"styli@ucdavis.edu\", role = c(\"aut\", \"cre\")), person(\"Xiaotian\", \"Zou\", email = \"xtzou@ucdavis.edu\", role = \"aut\"), person(\"Gregory\", \"Pasternack\", email = \"gpast@ucdavis.edu\", role = \"aut\"))", "Description": "This tool identifies hydropeaking events from raw\ntime-series flow record, a rapid flow variation induced by the\nhourly-adjusted electricity market. The novelty of 'HEDA' is to\nuse vector angle instead of the first-order derivative to\ndetect change points which not only largely improves the\ncomputing efficiency but also accounts for the rate of change\nof the flow variation. More details\n.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.1.1", "NeedsCompilation": "no", "Packaged": { "Date": "2026-07-13 06:18:43 UTC", "User": "root" }, "Author": "Tingyu Li [aut, cre], Xiaotian Zou [aut], Gregory Pasternack\n[aut]", "Maintainer": "Tingyu Li ", "Repository": "https://ninalty.r-universe.dev", "Date/Publication": "2021-07-20 18:00:02 UTC", "RemoteUrl": "https://github.com/cran/HEDA", "RemoteRef": "HEAD", "RemoteSha": "8ddee24f4b47cf9939043c4c51b3ede3006e7478", "_user": "ninalty", "_type": "src", "_file": "HEDA_0.1.5.tar.gz", "_fileid": "https://r2.ropensci.org/e78bec7899bc89c45b8dacf239993e66d554d2459cbc9117657c231df47c5350", "_filesize": 265088, "_sha256": "e78bec7899bc89c45b8dacf239993e66d554d2459cbc9117657c231df47c5350", "_expires": "2026-10-21T06:22:38.000Z", "_created": "2026-07-13T06:18:43.000Z", "_published": "2026-07-13T06:22:39.940Z", "_jobs": [ { "job": 86747885079, "time": 139, "config": 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