irtlink uses unidimensional item response theory (IRT) models (1PL,
2PL, 3PL, and the partial credit and generalized partial credit models
for polytomous items) to estimate trends in the mean and standard
deviation of a latent ability distribution across time points of an
educational assessment. It also estimates ability distribution
differences across linked groups. Groups are connected through common
items; their person samples may be independent, dependent, or drawn from
different populations. The package quantifies the linking error induced
by differential item functioning (DIF) in the estimates. For a tour of
the package, see vignette("irtlink"), and for the function
overview, see ?irtlink.
If you encounter a bug or have a suggestion, please open a GitHub
issue or email me at engels@leibniz-ipn.de. The most useful reports
contain a small example that reproduces the problem, including a minimal
dataset (a sim_trend_data() call with a seed is usually
sufficient), the shortest script that triggers the issue on that
dataset, and the output of sessionInfo().
irtlink 0.1.0 (2026-10-06)The version hosted here can be installed from within R using:
# install.packages("remotes")
remotes::install_github("oskarengels/irtlink")or with devtools:
# install.packages("devtools")
devtools::install_github("oskarengels/irtlink")