cat2cat: Handling an Inconsistently Coded Categorical Variable in a Longitudinal Dataset

Unifying an inconsistently coded categorical variable between two different time points in accordance with a mapping table. The main rule is to replicate the observation if it could be assigned to a few categories. Then using frequencies or statistical methods to approximate the probabilities of being assigned to each of them. This procedure was invented and implemented in the paper by Nasinski, Majchrowska, and Broniatowska (2020) <doi:10.24425/cejeme.2020.134747>.

Version: 0.4.6
Depends: R (≥ 3.6)
Imports: MASS
Suggests: caret, randomForest, knitr, rmarkdown, pacman, testthat (≥ 3.0.0), magrittr, dplyr
Published: 2023-02-01
Author: Maciej Nasinski [aut, cre]
Maintainer: Maciej Nasinski <nasinski.maciej at gmail.com>
BugReports: https://github.com/Polkas/cat2cat/issues
License: GPL-2 | GPL-3 | file LICENSE [expanded from: GPL (≥ 2) | file LICENSE]
URL: https://github.com/Polkas/cat2cat, https://polkas.github.io/cat2cat/
NeedsCompilation: no
Materials: NEWS
CRAN checks: cat2cat results

Documentation:

Reference manual: cat2cat.pdf
Vignettes: Get Started

Downloads:

Package source: cat2cat_0.4.6.tar.gz
Windows binaries: r-devel: cat2cat_0.4.6.zip, r-release: cat2cat_0.4.5.zip, r-oldrel: cat2cat_0.4.6.zip
macOS binaries: r-release (arm64): cat2cat_0.4.6.tgz, r-oldrel (arm64): cat2cat_0.4.6.tgz, r-release (x86_64): cat2cat_0.4.6.tgz, r-oldrel (x86_64): cat2cat_0.4.6.tgz
Old sources: cat2cat archive

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