Package: miceRanger
Title: Multiple Imputation by Chained Equations with Random Forests
Version: 1.5.1
Authors@R: 
    person(given = "Sam",
           family = "Wilson",
           role = c("aut","cre"),
           email = "samwilson303@gmail.com")
Maintainer: Sam Wilson <samwilson303@gmail.com>
Description: Multiple Imputation has been shown to be a flexible method
        to impute missing values by Van Buuren (2007)
        <doi:10.1177/0962280206074463>. Expanding on this, random
        forests have been shown to be an accurate model by Stekhoven
        and Buhlmann <arXiv:1105.0828> to impute missing values in
        datasets. They have the added benefits of returning out of bag
        error and variable importance estimates, as well as being
        simple to run in parallel.
URL: https://github.com/FarrellDay/miceRanger
BugReports: https://github.com/FarrellDay/miceRanger/issues
Encoding: UTF-8
LazyData: true
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: ranger, data.table, stats, FNN, ggplot2, crayon, corrplot,
        ggpubr, DescTools, foreach
Suggests: knitr, rmarkdown, doParallel, testthat (>= 2.1.0)
RoxygenNote: 7.1.1
VignetteBuilder: knitr
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libssl-dev
        libx11-dev zlib1g-dev
Repository: https://farrellday.r-universe.dev
Date/Publication: 2022-05-19 19:38:03 UTC
RemoteUrl: https://github.com/farrellday/miceranger
RemoteRef: HEAD
RemoteSha: 4b87a65189ff6ef6f3d88705d989feefe180d103
NeedsCompilation: no
Packaged: 2026-07-04 06:33:16 UTC; root
Author: Sam Wilson [aut, cre]