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")

0.2.1 by Maciej Nasinski, 16 days 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 rlang, caret, progress, randomForest, MASS, tidyr, dplyr, data.table, assertthat

Suggests knitr, rmarkdown, pacman, testthat, magrittr, igraph


See at CRAN