DESCRIPTION

Package: hdImpute
Type: Package
Title: A Batch Process for High Dimensional Imputation
Version: 0.2.1
BugReports: https://github.com/pdwaggoner/hdImpute/issues
Authors@R: person("Philip", "Waggoner", role = c("aut", "cre"), email = "philip.waggoner@gmail.com")
Maintainer: Philip Waggoner <philip.waggoner@gmail.com>
Description: A correlation-based batch process for fast, accurate imputation for 
    high dimensional missing data problems via chained random forests.
    See Waggoner (2023) <doi:10.1007/s00180-023-01325-9> for more on 'hdImpute',
    Stekhoven and Bühlmann (2012) <doi:10.1093/bioinformatics/btr597> for more on 'missForest', 
    and Mayer (2022) <https://github.com/mayer79/missRanger> for more on 'missRanger'.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: 
    missRanger,
    plyr,
    purrr, 
    magrittr, 
    tibble, 
    dplyr, 
    tidyselect,
    tidyr,
    cli 
Suggests: 
    testthat (>= 3.0.0),
    knitr,
    rmarkdown,
    usethis,
    missForest,
    tidyverse
VignetteBuilder: knitr
RoxygenNote: 7.2.3
Config/testthat/edition: 3
URL: https://github.com/pdwaggoner/hdImpute