Package: miceFast
Title: Fast Imputations Using 'Rcpp' and 'Armadillo'
Version: 0.5.1
Authors@R: person("Maciej", "Nasinski", email = "nasinski.maciej@gmail.com", role = c("aut", "cre"))
Description: 
  Fast imputations under the object-oriented programming paradigm.
	There was used quantitative models with a closed-form solution. Thus package is based on linear algebra operations.
	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.
	Moreover there are offered a few functions built to work with popular R packages such as 'data.table' or 'dplyr'.
Depends: R (>= 3.4.0)
License: GPL (>= 2)
URL: https://github.com/Polkas/miceFast
BugReports: https://github.com/Polkas/miceFast/issues
Encoding: UTF-8
Imports: methods, data.table, Rcpp (>= 0.12.12)
Suggests: dplyr, knitr, rmarkdown, pacman, testthat, mice, broom, car,
        magrittr, ggplot2
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppArmadillo
RcppModules: miceFast,CorrData
SystemRequirements: C++11
NeedsCompilation: yes
LazyData: true
RoxygenNote: 6.1.0
Packaged: 2019-08-19 21:40:11 UTC; user
Author: Maciej Nasinski [aut, cre]
Maintainer: Maciej Nasinski <nasinski.maciej@gmail.com>
Repository: CRAN
Date/Publication: 2019-08-19 22:50:02 UTC
Built: R 4.0.0; x86_64-w64-mingw32; 2020-04-10 04:45:22 UTC; windows
Archs: i386, x64
