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 Description: A correlation-based batch process for fast, accurate imputation for high dimensional missing data problems via chained random forests. See Waggoner (2023) for more on 'hdImpute', Stekhoven and Bühlmann (2012) for more on 'missForest', and Mayer (2022) 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 Config/pak/sysreqs: libicu-dev Repository: https://pdwaggoner.r-universe.dev Date/Publication: 2025-01-10 03:27:09 UTC RemoteUrl: https://github.com/pdwaggoner/hdimpute RemoteRef: HEAD RemoteSha: 6f6b5ed757ba0c89bed3a5bd65f29f409b550e68 NeedsCompilation: no Packaged: 2026-10-20 06:37:16 UTC; root Author: Philip Waggoner [aut, cre]