Package: miceRanger
Title: Multiple Imputation by Chained Equations with Random Forests
Version: 1.3.5
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: 7.1.0
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-04-03 15:43:05 UTC; SamWilson
Author: Sam Wilson [aut, cre]
Repository: CRAN
Date/Publication: 2020-04-03 16:00:12 UTC
Built: R 4.0.2; ; 2020-08-02 17:38:18 UTC; windows
