Package: dataPreparation
Title: Automated Data Preparation
Version: 1.0.1
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: 7.1.1
Suggests: knitr, rmarkdown, kableExtra, pander, testthat (>= 2.0.0)
Imports: data.table
BugReports: https://github.com/ELToulemonde/dataPreparation/issues
NeedsCompilation: no
Packaged: 2020-12-15 20:08:09 UTC; Emmanuel Lin
Author: Emmanuel-Lin Toulemonde [aut, cre]
Maintainer: Emmanuel-Lin Toulemonde <el.toulemonde@protonmail.com>
Repository: CRAN
Date/Publication: 2020-12-16 00:00:02 UTC
Built: R 4.0.2; ; 2020-12-16 11:54:32 UTC; unix
