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>).

An R Package for Simulating IRT-Based Computerized Adaptive
Tests
Functions designed to simulate data that conform to basic
unidimensional IRT models (for now 3-parameter binary response
models and graded response models) along with Post-Hoc CAT
simulations of those models with various item selection
methods, ability estimation methods, and termination criteria.

Functions designed to simulate data that conform to basic
unidimensional IRT models (for now 3-parameter binary response models
and graded response models) along with Post-Hoc CAT simulations of
those models with various item selection methods, ability estimation
methods, and termination criteria.

Simulate IRT-Based Computerized Adaptive Tests
c(
person(given = "Steven",
family = "Nydick",
role = c("cre", "aut"),
email = "swnydick@gmail.com",
comment = c(ORCID = "0000-0002-2908-1188")))
Functions designed to simulate data that conform to basic
unidimensional IRT models (for now 3-parameter binary response models
and graded response models) along with Post-Hoc CAT simulations of
those models given various item selection methods, ability estimation
methods, and termination criteria. See
Wainer (2000) <doi:10.4324/9781410605931>,
van der Linden & Pashley (2010) <doi:10.1007/978-0-387-85461-8_1>,
and Eggen (1999) <doi:10.1177/01466219922031365> for more details.
Steven Nydick [cre, aut] (<https://orcid.org/0000-0002-2908-1188>)

Procedures to generate IRT adaptive tests (CAT)
David Magis (U Liege, Belgium), Gilles Raiche (UQAM, Canada)
The catR package allows the generation of response
patterns under computerized adaptive testing (CAT) framework,
with the choice of several starting rules, stopping rules and
ability estimators.