Mapping of a Categorical Variable in a Panel Dataset

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) ).


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install.packages("cat2cat")

0.1.3 by Maciej Nasinski, a month ago


https://github.com/Polkas/cat2cat


Report a bug at https://github.com/Polkas/cat2cat/issues


Browse source code at https://github.com/cran/cat2cat


Authors: Maciej Nasinski [aut, cre]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports methods, rlang, caret, progress, magrittr, randomForest, MASS, tidyr, dplyr, data.table

Suggests knitr, rmarkdown, pacman, testthat


See at CRAN