{ "_id": "6a1570bbacfb0bcc41d64efb", "Package": "setartree", "Title": "SETAR-Tree - A Novel and Accurate Tree Algorithm for Global Time\nSeries Forecasting", "Version": "0.2.1", "Authors@R": "c(\nperson(\"Rakshitha\", \"Godahewa\", email = \"rakshithagw@gmail.com\", role = c(\"cre\", \"aut\", \"cph\")),\nperson(\"Christoph\", \"Bergmeir\", email = \"christoph.bergmeir@monash.edu\", role = \"aut\"),\nperson(\"Daniel\", \"Schmidt\", email = \"daniel.schmidt@monash.edu\", role = \"aut\"),\nperson(\"Geoffrey\", \"Webb\", email = \"geoff.webb@monash.edu\", role = \"ctb\"))", "Maintainer": "Rakshitha Godahewa ", "Description": "The implementation of a forecasting-specific tree-based\nmodel that is in particular suitable for global time series\nforecasting, as proposed in Godahewa et al. (2022)\n. The model uses the concept of Self\nExciting Threshold Autoregressive (SETAR) models to define the\nnode splits and thus, the model is named SETAR-Tree. The\nSETAR-Tree uses some time-series-specific splitting and\nstopping procedures. It trains global pooled regression models\nin the leaves allowing the models to learn cross-series\ninformation. The depth of the tree is controlled by conducting\na statistical linearity test as well as measuring the error\nreduction percentage at each node split. Thus, the SETAR-Tree\nrequires minimal external hyperparameter tuning and provides\ncompetitive results under its default configuration. A forest\nis developed by extending the SETAR-Tree. The SETAR-Forest\ncombines the forecasts provided by a collection of diverse\nSETAR-Trees during the forecasting process.", "License": "MIT + file LICENSE", "URL": "https://github.com/rakshitha123/setartree", "BugReports": "https://github.com/rakshitha123/setartree/issues", "Encoding": "UTF-8", "LazyData": "true", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.2.3", "Repository": "https://rakshitha123.r-universe.dev", "Date/Publication": "2023-08-24 07:49:05 UTC", "RemoteUrl": "https://github.com/rakshitha123/setartree", "RemoteRef": "HEAD", "RemoteSha": "6fdd5d8bf50f1d0f69d5d575dc80eec903c6a240", "RemoteSubdir": "setartree", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-26 10:04:18 UTC", "User": "root" }, "Author": "Rakshitha Godahewa [cre, aut, cph],\nChristoph Bergmeir [aut],\nDaniel Schmidt [aut],\nGeoffrey Webb [ctb]", "MD5sum": "666cc97f817fe4c765336d9e577f35f5", "_user": "rakshitha123", "_type": "src", "_file": "setartree_0.2.1.tar.gz", "_fileid": 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