Package: dataPreparation
Title: Automated Data Preparation
Version: 0.4.0
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: 6.1.1
Suggests: knitr, rmarkdown, kableExtra, pander, testthat (>= 2.0.0)
VignetteBuilder: knitr
Imports: data.table
BugReports: https://github.com/ELToulemonde/dataPreparation/issues
NeedsCompilation: no
Packaged: 2019-03-25 13:35:08 UTC; eltoulemonde
Author: Emmanuel-Lin Toulemonde [aut, cre]
Maintainer: Emmanuel-Lin Toulemonde <el.toulemonde@protonmail.com>
Repository: CRAN
Date/Publication: 2019-03-25 15:43:29 UTC
Built: R 3.4.4; ; 2019-04-25 19:31:55 UTC; windows
