Package: dataPreparation
Title: Automated Data Preparation
Version: 1.1.2
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 (>= 3.6.0),
License: GPL-3 | file LICENSE
LazyData: true
Encoding: UTF-8
RoxygenNote: 7.3.2
Suggests: testthat (>= 2.0.0)
Imports: data.table, lubridate, stringr, Matrix, progress
BugReports: https://github.com/ELToulemonde/dataPreparation/issues
Config/pak/sysreqs: libicu-dev
Repository: https://eltoulemonde.r-universe.dev
Date/Publication: 2025-09-02 11:41:20 UTC
RemoteUrl: https://github.com/eltoulemonde/datapreparation
RemoteRef: HEAD
RemoteSha: 5748e2dd552e449302ada05d35e20eb6b8ac4ad8
NeedsCompilation: no
Packaged: 2026-06-19 07:25:15 UTC; root
Author: Emmanuel-Lin Toulemonde [aut, cre]
Maintainer: Emmanuel-Lin Toulemonde <el.toulemonde@protonmail.com>