DESCRIPTION

Package: miceFast
Title: Fast Imputations Using 'Rcpp' and 'Armadillo'
Version: 0.8.2
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 could be achieve for a calculation where a grouping variable have to be 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,
    pacman,
    testthat,
    mice,
    magrittr,
    ggplot2,
    UpSetR,
    dplyr
VignetteBuilder: knitr
LinkingTo: 
    Rcpp,
    RcppArmadillo
RcppModules: miceFast, corrData
SystemRequirements: 
    C++11
NeedsCompilation: yes
LazyData: true
RoxygenNote: 7.2.2