Package: miceFast
Title: Fast Imputations Using 'Rcpp' and 'Armadillo'
Version: 0.9.1.9000
Authors@R: person("Maciej", "Nasinski", email = "nasinski.maciej@gmail.com", role = c("aut", "cre"))
Description: Fast imputations under the object-oriented programming
        paradigm. Moreover there are offered a few functions built to
        work with popular R packages such as 'data.table' or 'dplyr'.
        The biggest improvement in time performance can be achieved for
        a calculation where a grouping variable is used. A single
        evaluation of a quantitative model for the multiple imputations
        is another major enhancement. A new major improvement is one of
        the fastest predictive mean matching in the R world because of
        presorting and binary search.
Depends: R (>= 3.6.0)
License: GPL (>= 2)
URL: https://github.com/Polkas/miceFast
BugReports: https://github.com/Polkas/miceFast/issues
Encoding: UTF-8
Imports: methods, Rcpp (>= 0.12.12), data.table
Suggests: knitr, rmarkdown, testthat, mice, magrittr, ggplot2, UpSetR,
        dplyr
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppArmadillo
RcppModules: miceFast, corrData
NeedsCompilation: yes
LazyData: true
RoxygenNote: 7.3.3
Repository: https://polkas.r-universe.dev
Date/Publication: 2026-05-25 16:17:55 UTC
RemoteUrl: https://github.com/polkas/micefast
RemoteRef: HEAD
RemoteSha: 24b19543309d88e4295e571dbed4d16b23a5264b
Packaged: 2026-07-03 18:17:36 UTC; root
Author: Maciej Nasinski [aut, cre]
Maintainer: Maciej Nasinski <nasinski.maciej@gmail.com>