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
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
NeedsCompilation: no
Packaged: 2023-08-07 20:51:28 UTC; waggoner
Author: Philip Waggoner [aut, cre]
Repository: CRAN
Date/Publication: 2023-08-07 21:20:02 UTC
Built: R 4.6.0; ; 2026-04-29 19:23:46 UTC; unix
