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

Unifying of 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 assign to a few categories. Then using simple frequencies or statistical methods to approximate probabilities of being assign 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: 0.4.4
Depends: R (≥ 3.6)
Imports: MASS
Suggests: caret, randomForest, knitr, rmarkdown, pacman, testthat, magrittr, dplyr
Published: 2022-08-31
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 [expanded from: GPL (≥ 2)]
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_0.4.4.tar.gz
Windows binaries: r-devel: cat2cat_0.4.4.zip, r-release: cat2cat_0.4.4.zip, r-oldrel: cat2cat_0.4.4.zip
macOS binaries: r-release (arm64): cat2cat_0.4.4.tgz, r-oldrel (arm64): cat2cat_0.4.4.tgz, r-release (x86_64): cat2cat_0.4.4.tgz, r-oldrel (x86_64): cat2cat_0.4.4.tgz
Old sources: cat2cat archive

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