Package: cat2cat
Title: Unify a Categorical Variable in a Panel Dataset
Version: 0.3.3
Authors@R: person("Maciej", "Nasinski", email = "nasinski.maciej@gmail.com", role = c("aut", "cre"))
Maintainer: Maciej Nasinski <nasinski.maciej@gmail.com>
Description: 
  There are offered automatic methods to map a categorical variable according to a specific encoding across different time points. 
  The main rule is to replicate the observation if it could be assign to a few categories.
  Then using simple frequencies or statistical methods to approximate probabilities of being assign to each of them.
  This algorithm was invented and implemented in the paper by (Nasinski, Majchrowska and Broniatowska (2020) <doi:10.24425/cejeme.2020.134747>).
Depends: R (>= 3.6)
License: GPL (>= 2)
URL: https://github.com/Polkas/cat2cat,
        https://polkas.github.io/cat2cat/
BugReports: https://github.com/Polkas/cat2cat/issues
Encoding: UTF-8
Imports: MASS, assertthat
Suggests: caret, randomForest, knitr, rmarkdown, pacman, testthat,
        magrittr, dplyr
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 7.1.2
NeedsCompilation: no
Packaged: 2022-03-11 20:38:26 UTC; maciejnasinski
Author: Maciej Nasinski [aut, cre]
Repository: CRAN
Date/Publication: 2022-03-11 21:30:02 UTC
Built: R 4.0.5; ; 2022-04-21 02:15:16 UTC; windows
