Package: dataPreparation
Title: Automated Data Preparation
Version: 0.3.5
Authors@R: person("Emmanuel-Lin", "Toulemonde", email = "el.toulemonde@protonmail.com", role = c("aut", "cre"))
Description: Do most of the painful data preparation for a data science project with a minimum amount of code; Take advantages of data.table efficiency and use some algorithmic trick in order to perform data preparation in a time and RAM efficient way.
Depends: R (>= 3.3.0), lubridate, stringr, Matrix, progress
License: GPL-3 | file LICENSE
LazyData: true
Encoding: UTF-8
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown, kableExtra, pander, testthat
VignetteBuilder: knitr
Imports: data.table
BugReports: https://github.com/ELToulemonde/dataPreparation/issues
NeedsCompilation: no
Packaged: 2018-02-16 14:37:33 UTC; touleem
Author: Emmanuel-Lin Toulemonde [aut, cre]
Maintainer: Emmanuel-Lin Toulemonde <el.toulemonde@protonmail.com>
Repository: CRAN
Date/Publication: 2018-02-16 15:29:19 UTC
Built: R 3.3.3; ; 2018-04-22 15:31:33 UTC; windows
