Description: Implements the Merged Tree-CAT method (Javier Rodriguez-Cuadrado et al., 2020, <doi:10.1016/j.eswa.2019.113066>) to generate Computerized Adaptive Tests (CATs) based on a decision tree. The tree growth is controlled by merging branches with similar trait distributions and estimations. This package has the necessary tools for creating CATs and estimate the subject's ability level.

Title: Mapping of a Categorical Variable in a Panel Dataset
Authors@R: person("Maciej", "Nasinski", email = "nasinski.maciej@gmail.com", role = c("aut", "cre"))
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>).
Imports: methods, rlang, caret, progress, magrittr, randomForest, MASS,
Suggests: knitr, rmarkdown, pacman, testthat

This algorithm was invented and implemented in the paper by (Nasinski, Majchrowska and Broniatowska (2020) <doi:10.24425/cejeme.2020.134747>).
Imports: rlang, caret, progress, randomForest, MASS, tidyr, dplyr,
Suggests: knitr, rmarkdown, pacman, testthat, magrittr
Packaged: 2020-11-28 23:01:57 UTC; maciejnasinski

Suggests: knitr, rmarkdown, pacman, testthat, magrittr, igraph
Packaged: 2020-12-08 20:06:35 UTC; maciejnasinski

Packaged: 2021-03-24 19:09:33 UTC; maciejnasinski

Title: Unify a Categorical Variable in a Panel Dataset
Imports: rlang, progress, MASS, tidyr, dplyr, assertthat
Suggests: caret, randomForest, knitr, rmarkdown, pacman, testthat,
Packaged: 2022-02-06 20:18:35 UTC; maciejnasinski

Packaged: 2022-03-11 20:38:26 UTC; maciejnasinski

Title: Handling an Inconsistent Coded Categorical Variable in a Panel
There are offered automatic methods to map a categorical variable according to a specific mappings across different time points.
Packaged: 2022-06-08 20:07:21 UTC; maciejnasinski