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The\nsecond set of importance measures are calculated on a\nper-outcome variable basis as the sum of mean absolute\ndifference of node values for each split defined by feature j\nmeasured on user-defined examples (i.e., training or testing\nsamples). The user can optionally threshold both sets of\nimportance measures to include only splits that are\nstatistically significant as measured using an F-test.", "License": "GPL (>= 3)", "Encoding": "UTF-8", "LazyData": "true", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.1.2", "Config/testthat/edition": "3", "URL": "https://github.com/Megatvini/VIM/", "BugReports": "https://github.com/Megatvini/VIM/issues", "Repository": "https://megatvini.r-universe.dev", "Date/Publication": "2024-09-06 11:16:01 UTC", "RemoteUrl": "https://github.com/megatvini/vim", "RemoteRef": "HEAD", "RemoteSha": "327ce45e230d1b1f3474de9de7105b0f37a4faeb", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-14 07:56:16 UTC", "User": "root" }, "Author": "Nika Dogonadze [cre],\nGiles Hooker [aut],\nVrinda Kadiyali [ctb],\nSharmistha Sikdar [aut]", "_user": "megatvini", "_type": "src", "_file": "MulvariateRandomForestVarImp_0.0.6.tar.gz", "_fileid": 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