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The random forest\nmodels can also be used for counterfactual or business as usual\n(BAU) modelling by using the models to predict, from the\nmodel's perspective, the future. For an example, see Grange et\nal. (2021) .", "URL": "https://github.com/skgrange/rmweather", "BugReports": "https://github.com/skgrange/rmweather/issues", "License": "GPL-3 | file LICENSE", "ByteCompile": "true", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.3.3", "Config/pak/sysreqs": "libicu-dev", "Repository": "https://skgrange.r-universe.dev", "Date/Publication": "2025-12-03 14:49:23 UTC", "RemoteUrl": "https://github.com/skgrange/rmweather", "RemoteRef": "HEAD", "RemoteSha": "a30a9812ab5e6953f15a7ce602f03188c9943c1b", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-01 10:16:30 UTC", "User": "root" }, "Author": "Stuart K. 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