Package: miceFast
Title: Fast Imputations Using 'Rcpp' and 'Armadillo'
Version: 0.2.3
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'.
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, Rcpp (>= 0.12.12)
Suggests: data.table, knitr, rmarkdown, pacman, testthat, mice, dplyr,
        broom, car, magrittr
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppArmadillo
RcppModules: miceFast,CorrData
SystemRequirements: C++11
NeedsCompilation: yes
RoxygenNote: 6.0.1
Packaged: 2018-05-06 19:25:39 UTC; user
Author: Maciej Nasinski [aut, cre]
Maintainer: Maciej Nasinski <nasinski.maciej@gmail.com>
Repository: CRAN
Date/Publication: 2018-05-06 20:19:04 UTC
Built: R 3.4.4; x86_64-w64-mingw32; 2019-04-25 19:37:12 UTC; windows
Archs: i386, x64
