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'
        algorithm used to impute mixed-type data sets by chaining
        random forests, introduced by Stekhoven, D.J. and Buehlmann, P.
        (2012) <doi:10.1093/bioinformatics/btr597>. Under the hood, it
        uses the lightning fast random forest package 'ranger'. Between
        the iterative model fitting, we offer the option of using
        predictive mean matching. This firstly avoids imputation with
        values not already present in the original data (like a value
        0.3334 in 0-1 coded variable).  Secondly, predictive mean
        matching tries to raise the variance in the resulting
        conditional distributions to a realistic level. This would
        allow, e.g., to do multiple imputation when repeating the call
        to missRanger(). Out-of-sample application is supported as
        well.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Imports: FNN, ranger (>= 0.16.0), stats, utils
URL: https://github.com/mayer79/missRanger,
        https://mayer79.github.io/missRanger/
BugReports: https://github.com/mayer79/missRanger/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
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: 2026-06-21 10:06:09 UTC; root
Author: Michael Mayer [aut, cre]
Maintainer: Michael Mayer <mayermichael79@gmail.com>