{ "_id": "6a499ade4ae8ee07ee133215", "Package": "missRanger", "Title": "Fast Imputation of Missing Values", "Version": "2.6.2", "Authors@R": "person(\"Michael\", \"Mayer\", , \"mayermichael79@gmail.com\", role = c(\"aut\", \"cre\"))", "Description": "Alternative implementation of the beautiful 'MissForest'\nalgorithm used to impute mixed-type data sets by chaining\nrandom forests, introduced by Stekhoven, D.J. and Buehlmann, P.\n(2012) . Under the hood, it\nuses the lightning fast random forest package 'ranger'. Between\nthe iterative model fitting, we offer the option of using\npredictive mean matching. This firstly avoids imputation with\nvalues not already present in the original data (like a value\n0.3334 in 0-1 coded variable). Secondly, predictive mean\nmatching tries to raise the variance in the resulting\nconditional distributions to a realistic level. This would\nallow, e.g., to do multiple imputation when repeating the call\nto missRanger(). Out-of-sample application is supported as\nwell.", "License": "GPL (>= 2)", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.2", "URL": "https://github.com/mayer79/missRanger,\nhttps://mayer79.github.io/missRanger/", "BugReports": "https://github.com/mayer79/missRanger/issues", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "Repository": "https://mayer79.r-universe.dev", "Date/Publication": "2025-04-06 09:36:48 UTC", "RemoteUrl": "https://github.com/mayer79/missranger", "RemoteRef": "HEAD", "RemoteSha": "62bea6ecdfe0838dc034628b45bcfa44028a402e", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-21 10:06:09 UTC", "User": "root" }, "Author": "Michael Mayer [aut, cre]", "Maintainer": "Michael Mayer ", "_user": "mayer79", "_type": "src", "_file": "missRanger_2.6.2.tar.gz", "_fileid": "https://r2.ropensci.org/5ea4ffaf5606c4e0293839298f0d519154717040f1be01c99203d65181de9e32", "_filesize": 173875, "_sha256": 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